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Enhancing MIMO Antenna Isolation with Novel Electromagnetic Band Gap (EBG) Structure and Genetic Algorithm Optimization Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-22 Shalini E, Prakash G
A novel Electromagnetic Band Gap (EBG) structure is proposed to minimize common connector between closely spaced rectangular patch antennas. The 2D EBG architecture is placed on the horizontal plan...
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Identifying the AI-based solutions proposed for restricting Money Laundering in Financial Sectors: Systematic Mapping Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-22 Habib Ullah Khan, Muhammad Zain Malik, Shah Nazir
Money laundering (ML) is a critical source of extracting the money illegally from the financial system. It is linked to various types of crimes, including corruption, exploitation of a specific com...
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Predication of Water Pollution Peak Concentrations by Hybrid BP Artificial Neural Network Coupled with Genetic Algorithm Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-13 Yanbo Lu, Tong Li, Ying Deng
Water pollutions can severely affect water environment, causing water quality degradation and threatening aquatic wildlife. Deemed as guideline for maximum environmental impact assessment, water po...
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English Vocabulary Learning Aid System Using Digital Twin Wasserstein Generative Adversarial Network Optimized With Jelly Fish Optimization Algorithm Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-11 Fei Wu
Natural Language Processing (NLP) is a technology that permits computers to recognize human languages. Words are the fundamental unit of analysis in deep-level grammatical and semantic analysis. Th...
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A Security-enhanced Advertising Platform based on Blockchain and Edge Computing in Generative AI Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-11 Zhengjun Jing, Xiaolong Xu, Chunseng Gu, Yan Zhang, Qiang Shu
With the development of advertising technology, especially the emergence of generative artificial intelligence, the generation and editing of advertising content has become more convenient and effi...
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Feature Selection-based Machine Learning Comparative Analysis for Predicting Breast Cancer Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-10 Chour Singh Rajpoot, Gajanand Sharma, Praveen Gupta, Pankaj Dadheech, Umar Yahya, Nagender Aneja
Breast cancer is a serious disease, and therefore early detection is crucial for successful treatment and patient management. Unfortunately, globally, the number of breast cancer cases is increasin...
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Utilizing Machine Learning Techniques for Classifying Translated and Non-Translated Corporate Annual Reports Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-10 Zhongliang Wang, Ming Liu, Kanglong Liu
Globalization has led to the widespread adoption of translated corporate annual reports in international markets. Nonetheless, it remains largely unexplored whether these translated documents fulfi...
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VBNet: A Visually-Aware Biomimetic Network for Simulating the Human Eye’s Visual System Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-01 Zhaofei Li, Yufan Mao, Mingshan Zhong, Jun Zhao
In the rapidly advancing realms of computer vision and artificial intelligence, the quest for human-like intelligence is escalating. Central to this pursuit is visual perception, with the human eye...
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Circular Intuitionistic Fuzzy Median Ranking Model with a Novel Scoring Mechanism for Multiple Criteria Decision Analytics Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-01 Ting-Yu Chen
This study aims to pioneer an innovative circular intuitionistic fuzzy (C-IF) scoring-mediated median ranking model designed for multiple criteria decision analytics. The primary goal is to establi...
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Smart Grids Data Aggregation Method on Paillier Homomorphic Encryption Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-01 Shaodong Zhao
Smart grid (SGs) is a highly integrated power system, it is gradually replacing the traditional power grid, but at present there are problems in the SGs data aggregation, such as user privacy leaka...
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Critical Factor Analysis for prediction of Diabetes Mellitus using an Inclusive Feature Selection Strategy Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-01 E. Sreehari, L. D. Dhinesh Babu
Diabetes mellitus is a metabolic disorder that significantly implicates serious consequences in various parts of the human body, such as the Eye, Heart, kidney, Nerves, Foot, etc. The identificatio...
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An Adapted Ant Colony Optimization for Feature Selection Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-04-01 Duygu Yilmaz Eroglu, Umut Akcan
As information technologies evolve, they generate vast and ever-expanding datasets. This wealth of high-dimensional data presents challenges, including increased computational demands and difficult...
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Multi-objective Optimization for Green Delivery Routing Problems with Flexible Time Windows Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-27 Burak Gülmez, Michael Emmerich, Yingjie Fan
This paper presents a model and heuristic solution algorithms for the Green Vehicle Routing Problem with Flexible Time Windows. A scenario of new vehicle routing is analyzed in which customers are ...
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Cone Beam Computerized Tomography Preoperative Guidance under Feature Point Extraction Algorithm Combined with Autologous Concentrated Growth Factors in Maxillary Dental Implantation with Insufficient Bone Mass Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-28 Fang Liu, Wenjing Cui, Tingting Wang, Cheng Qian, Ren Yang, Rongxiu Zhang, Li Xu, Jie Hu, Liang Liu, Kai Zhang
It was to assess the efficacy of preoperative guidance using cone beam computed tomography (CBCT) and the application of autologous concentrated growth factors (CGF) for implantation in maxillary t...
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Prediction of Solar Concentration Flux Distribution for a Heliostat Based on Lunar Concentration Image and Generative Adversarial Networks Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-21 Fen Xu, Jian Wang, Minghuan Guo, Zhifeng Wang
The predictive analysis of solar flux distribution on the receiver surface is critical in optimizing the concentration processes of concentrating solar power (CSP) plants. Due to the difficulties o...
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Label Noise Robust Crowd Counting with Loss Filtering Factor Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-21 Zhengmeng Xu, Hai Lin, Yufeng Chen, Yanli Li
Crowd counting, a crucial computer vision task, aims at estimating the number of individuals in various environments. Each person in crowd counting datasets is typically annotated by a point at the...
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Human Activity Detection Events Through Human Eye Reflection using Bystander Analyzer Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-20 P. Nagalakshmi
Automatic video-based human activity recognition has shown promise and is mostly used in video surveillance applications for diverse purposes. However, there are still substantial performance issue...
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Optimized Attention Enhanced Temporal Graph Convolutional Network Espoused Research of Intelligent Customer Service System based on Natural Language Processing Technology Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-19 Zhifeng Wei, Hongyan Wang, Qiang Xu, Yi Qu, Wei Xing
Consumers have begun to move their attention away from product functioning and toward value probably extracted from items. Companies have begun to use customer service systems (CSS) in response to ...
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Collaborative Intelligence: A Scoping Review Of Current Applications Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-17 Emma Schleiger, Claire Mason, Claire Naughtin, Andrew Reeson, Cecile Paris
This review provides a novel examination of the emerging field of collaborative intelligence and demonstrates the value that human-AI teams can deliver. Humans and artificial intelligence (AI) syst...
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Designing a Block Chain Based Network for the Secure Exchange of Medical Data in Healthcare Systems Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-11 Katru Rama Rao, Satuluri Naganjaneyulu
An identity-based cryptosystem called signcryption is investigated in this study in order to efficiently and securely exchange healthcare information inside a data-sharing network, utilizing the id...
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Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-14 K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi
In our approach, a hybrid machine learning model is proposed which uses Enhanced Vector Space Model (EVSM) along with Hybrid Support Vector Machine (HSVM) classifier. Initially the social media-bas...
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Analyzing Topological Indices and Heat of Formation for Copper(II) Fluoride Network via Curve Fitting Models Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-14 Rongbing Huang, Muhammad Farhan Hanif, Muhammad Faisal Hanif, Muhammad Kamran Siddiqui, Tayyaba Noor, Douhadji Abalo
One of the most important fields in current materials research is the examination of materials through the prism of topological indices. An extensive statistical investigation of topological indice...
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Autonomous Behavior Selection For Self-driving Cars Using Probabilistic Logic Factored Markov Decision Processes Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-11 Héctor Avilés, Marco Negrete, Alberto Reyes, Rubén Machucho, Karelly Rivera, Gloria de-la-Garza, Alberto Petrilli
We propose probabilistic logic factored Markov decision processes (PL-fMDPs) as a behavior selection scheme for self-driving cars. Probabilistic logic combines logic programming with probability th...
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Binding Mechanism of Aviation Wire Harness Based on Improved Particle Swarm Optimization Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-12 Zhang Maoyun, Xi Huizhuang, Tang Chen, Jiang Yuheng, Zhang Ziyan, Tian Chunlin
To solve the problems of low efficiency and easy error of manual bundling, a binding mechanism of aviation wire harness was designed. During the test, we found that the parameter tuning problem of ...
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Intelligent Extraction of Multi-style and Multi-template Title Block Information Based on Fuzzy Matching Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-11 Gui Li, Qinluan Peng, Ming Luo
Title blocks are crucial primary data on drawings necessary for the operation of modern manufacturing enterprises. However, their uniform export poses a challenge due to the heterogeneity across mu...
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Behavior Analysis of the New PSO-CGSA Algorithm in Solving the Combined Economic Emission Dispatch Using Non-parametric Tests Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-06 Milena Gajić, Sanela Arsić, Jordan Radosavljević, Miroljub Jevtić, Bojan Perović, Dardan Klimenta, Miloš Milovanović
This paper proposes a new metahaeuristic algorithm named particle swarm optimization and chaotic gravitational search algorithm (PSO-CGSA) for solving the combined economic and emission dispatch (C...
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Control Charts for Exponentially Distributed Characteristics: SD, ED, ESD with Taguchi’s Loss Function Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-06 Masoud Tavakoli, Ali Akbar Heydari, Sahera Hussein Zain AL–Thalabi
This paper addresses the challenge of quality characteristics that follow an exponential distribution, which can significantly impact decision-making in various fields. Existing approaches rely on ...
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Privacy-Preserving Process Mining: A Blockchain-Based Privacy-Aware Reversible Shared Image Approach Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-05 Xianwen Fang, Mengyao Li
Deeper integration of cross-organizational business process sharing and process mining has advanced the Industrial Internet. Privacy breaches and data security risks limit its use. Scrambling or an...
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Application Of Density-Based Clustering Approaches For Stock Market Analysis Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Tanuja Das, Anindya Halder, Goutam Saha
Present economy is largely dependent on the precise forecasting of the business avenues using the stock market data. As the stock market data falls under the category of big data, the task of handl...
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STSG: A Short Text Semantic Graph Model for Similarity Computing Based on Dependency Parsing and Pre-trained Language Models Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Hai Liao, Yan Liang, Song Chen, Lingyun Xiang, Zhimin Chang, Yun Xiao
Short text semantic similarity is a crucial research area in nature language processing, which is used to predict the similarity between two sentences. Due to the sparsity features of short texts, ...
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Unsupervised Machine Learning Approaches for Test Suite Reduction Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Anila Sebastian, Hira Naseem, Cagatay Catal
Ensuring quality and reliability mandates thorough software testing at every stage of the development cycle. As software systems grow in size, complexity, and functionality, the parallel expansion ...
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Spatial-temporal Offshore Current Field Forecasting Using Residual-learning Based Purely CNN Methodology with Attention Mechanism Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-03-04 Zeguo Zhang, Jianchuan Yin
Spatial-temporal current forecasting is indispensable for ocean engineering and marine science exploration, for instance aiding in the conservation and protection of marine ecosystems, planning shi...
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3D Gaussian Geometric Moment Invariants Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-26 Tao Sun
3D moment invariants are important tools for 3D image feature representation. In this paper, we introduced a novel approach for constructing 3D moment invariants using Gaussian geometric moments. O...
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The SAGE Framework for Explaining Context in Explainable Artificial Intelligence Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-22 Eleanor Mill, Wolfgang Garn, Nick Ryman-Tubb, Chris Turner
Scholars often recommend incorporating context into the design of an explainable artificial intelligence (XAI) model in order to ensure successful real-world adoption. However, contemporary literat...
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DWS-YOLO: A Lightweight Detector for Blood Cell Detection Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-22 Yihai Mao, Hongyi Zhang, Wanqing Wu, Xingen Gao, Zhibin Lin, Juqiang Lin
Peripheral blood cell detection is an essential component of medical practice and is used to diagnose and treat diseases, as well as to monitor the progress of therapies. Our objective is to constr...
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Development Of A Vision- based Anti-drone Identification Friend Or Foe Model To Recognize Birds And Drones Using Deep Learning Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-02-17 Yasmine Ghazlane, Maha Gmira, Hicham Medromi
Recently, the growing use of drones has paved the way for limitless applications in all the domains. However, their malicious exploitations have affected the airspace safety, making them double-edg...
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Assessment of Wind Shear Severity in Airport Runway Vicinity using Interpretable TabNet approach and Doppler LiDAR Data Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-01-10 Afaq Khattak, Jianping Zhang, Pak-Wai Chan, Feng Chen
Severe wind shear events near airport runways pose serious safety risks and are a growing concern in civil aviation. Identification of severe wind shear risk factors may enhance aviation safety. Al...
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Multi-Criteria Decision Making Model For Hotel Selection Problem Under Complex Dual Hesitant Fuzzy Information Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-01-04 Rasool Niaz Khan, Muhammad Sajjad Ali Khan, Wali Khan Mashwani, Muhammad Ibrar, Tapan Senapati, Sarbast Moslem
The notion of the “complex dual hesitant fuzzy set (CDHFS)” is the combination of the “dual hesitant fuzzy set (DHFS)” and the “complex fuzzy set (CFS).” It is characterized by two degrees, namely ...
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Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging Appl. Artif. Intell. (IF 2.8) Pub Date : 2024-01-03 Shih-Wen Ke, Chih-Fong Tsai, Yi-Jun Chen
Enterprise Instant Messaging (EIM) has become an increasingly important tool for enterprises to operate efficiently and for the employees to communicate smoothly, especially with the recent outbrea...
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Improved Word Segmentation System for Chinese Criminal Judgment Documents Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-12-21 Chi Zhang
In this paper, a system for automatic word segmentation of Chinese criminal judgment documents is proposed. The system uses a hybrid model composed of fine-tuned BERT (Bidirectional Encoder Represe...
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Engineering Responsible And Explainable Models In Human-Agent Collectives Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-12-05 Dhaminda B. Abeywickrama, Sarvapali D. Ramchurn
In human-agent collectives, humans and agents need to work collaboratively and agree on collective decisions. However, ensuring that agents responsibly make decisions is a complex task, especially ...
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Artificial intelligence in higher education: a bibliometric analysis and topic modeling approach Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-10-18 Vusumuzi Maphosa, Mfowabo Maphosa
Artificial intelligence (AI) has brought unprecedented growth and productivity in every socioeconomic sector. AI adoption in education is transformational through reduced teacher workload, individu...
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Research on Path Optimization Method for Warehouse Inspection Robot Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-09-14 Jianxian Liu, Hongyuan Liu
ABSTRACT With the increasing popularity of intelligence, many enterprises’ warehouse inspection work is completed through robots. However, due to the multiple target points of warehouse inspection, the low efficiency of planning intelligent robot inspection paths is a problem that needs to be solved. In order to solve the above problems, this paper proposes an HPSO-ACO algorithm based on hybrid particle
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Research on Automatic Path Planning Method of Warehouse Inspection Robot Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-08-30 Hongyuan Liu, Jianxian Liu
ABSTRACT The patrol robot is an important guarantee for the safety of the enterprise’s warehouse. However, due to the large number of patrol target points, the automatic path planning of the patrol robot is difficult and inefficient. In order to solve this problem, the hybrid particle swarm optimization (HPSO) algorithm is combined with A-star algorithm, and a path optimization method for inspection
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Artificial Intuition for Automated Decision-Making Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-07-24 Marcello Trovati, Khalid Teli, Nikolaos Polatidis, Ufuk Alpsahin Cullen, Simon Bolton
ABSTRACT Automated decision-making techniques play a crucial role in data science, AI, and general machine learning. However, such techniques need to balance accuracy with computational complexity, as their solution requirements are likely to need exhaustive analysis of the potentially numerous events combinations, which constitute the corresponding scenarios. Intuition is an essential tool in the
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A Method to Plan the Path of a Robot Utilizing Deep Reinforcement Learning and Multi-Sensory Information Fusion Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-24 Jieren Tan
ABSTRACT Nowadays, mobile robots are being widely employed in various settings, including factories, homes, and everyday tasks. Achieving successful implementation of autonomous robot movement largely depends on effective route planning. Therefore, it is not surprising that there is a growing trend in studying and improving the intelligence of this technology. Deep reinforcement learning has shown
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Dance Video Motion Recognition Based on Computer Vision and Image Processing Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-21 Yawen Pang, Yi Niu
ABSTRACT In recent years, motion recognition has become a hot research topic in the field of computer vision and has great research worth. Scholars and research institutions at home and abroad have made a lot of research and achieved good results. However, the research results of applying motion recognition technology to dance video are relatively few, mainly because the complexity of human motion
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Improved EfficientDet Algorithm for Basketball Players’ Upper Limb Movement Trajectory Recognition Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-20 Hui Liang
ABSTRACT Whether a basketball player’s movements are standard or not is a key indicator to evaluate a basketball player and a key point for basketball player training. In order to improve the training effect of basketball players, effective and fast accurate recognition of basketball players’ action trajectories is crucial. In order to solve the problems of inadequate extraction of limb action features
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Artificial Intelligence-Driven Interactive Learning Methods for Enhancing Art and Design Education in Higher Institutions Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-19 Xiaoxia Fan, Jiayin Li
ABSTRACT To address the problem of the classroom practice teaching of art and design, this paper proposes an interactive learning method in universities, followed by the use of AI technology to evaluate the quality of art and design teaching. The study aims to achieve the following objectives: 1) To introduce the current research status of art and design and interactive teaching methods used in other
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Development of Large-Scale Farming Based on Explainable Machine Learning for a Sustainable Rural Economy: The Case of Cyber Risk Analysis to Prevent Costly Data Breaches Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-15 Yuelin Kang
ABSTRACT Risk management is essential to every organization’s management plan. It is the strategy by which organizations handle the risks involved with their actions to profit or avoid making decisions that will cost them financially in each activity. Identifying and mitigating potential digital threats and developing and implementing procedures to significantly reduce the likelihood of an organization
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Management Method Evaluation for Innovation and Entrepreneurship in College with Multi-Scale Feature Convolutional Network Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-15 Jin Wang
ABSTRACT Since the full implementation of the innovation-driven development strategy in the country, all regions and departments have placed great emphasis on the work of mass entrepreneurship and innovation, resulting in a significant increase in innovation and entrepreneurship. The national focus on mass entrepreneurship and innovation has shifted from quantitative to qualitative improvements, with
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Zero-Knowledge Proof Intelligent Recommendation System to Protect Students’ Data Privacy in the Digital Age Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-13 Wenjing Yin
ABSTRACT The rapid digital revolution in recent decades has resulted in an overwhelming amount of information, particularly in the realm of modern education systems and related materials. This phenomenon, often referred to as information overload, necessitates the development of educational systems that can effectively search, classify, and categorize this vast amount of available information. Of utmost
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Advancing Bridge Construction Monitoring: AI-Based Building Information Modeling for Intelligent Structural Damage Recognition Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-13 Honglei Yang, Min Xia
ABSTRACT Building Information Modeling (BIM) has emerged as a transformative technology in the construction industry, revolutionizing various aspects of the field. The integration of Artificial Intelligence (AI) techniques with BIM holds significant promise and is gaining momentum in interdisciplinary applications. In China, the construction industry has witnessed notable advancements through the convergence
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Green Progress of Cross-border E-Commerce Industry Utilizing Random Forest Algorithm and Panel Tobit Model Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-09 Ye Feng
ABSTRACT As both economies and trade broadly globalize, cross-border e-commerce (CBEC) as a branch of international trade has shown great potential for development. The construction of a CBEC realizes the integration and utilization of resources between the CBEC trading platform as the core element and other components of the system, cross-border logistics, payment enterprises, suppliers, and demanders
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Distributed Intelligent Model for Privacy and Secrecy in Preschool Education Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-08 Guoqiang He
ABSTRACT Mobile devices, including phones, tablets, and smartwatches, have revolutionized the way we compute and have seamlessly integrated into education systems. These versatile devices store vast amounts of valuable personal data due to their rich user interactions and advanced sensor capabilities. By harnessing the potential of this data through model training, we can greatly enhance the functionality
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Secure Preschool Education Using Machine Learning and Metaverse Technologies Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-08 Qifen Zhang
ABSTRACT The metaverse concept represents a revolutionary advancement in technology that merges various aspects of our physical world into a cohesive and interconnected digital realm. Through the utilization of advanced mixed reality technologies, individuals are granted the ability to immerse themselves completely in a three-dimensional internet experience, thereby unlocking a myriad of unprecedented
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Optimizing Electromagnetic Cigarette Heaters Using PSO-NSGA II Algorithm: An Effective Strategy to Improve Temperature Control and Production Rate Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-07 Jifan Xu, Yan Chen, Henbing Yan, Xuesong Yang
ABSTRACT The global tobacco industry has made significant strides in reducing the harmful emissions of tobacco by focusing on the development of non-burning cigarette products. Among these innovations, electrically heated noncombustible cigarette smoking sets have garnered attention. However, one of the challenges faced by these products is the reliance on empirical values for temperature control,
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Research on Financial Field Integrating Artificial Intelligence: Application Basis, Case Analysis, and SVR Model-Based Overnight Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-07 Xinzhu Yan
ABSTRACT The integration of Artificial Intelligence (AI) into the financial industry has witnessed significant growth, transitioning from an academic concept to widespread adoption in the industrial sector. This trend has given rise to various AI technologies, presenting both novel opportunities and potential risks within the financial landscape. In light of this development, the present research article
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Improving Efficiency and Accuracy in English Translation Learning: Investigating a Semantic Analysis Correction Algorithm Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-05 Lingmei Cao, Junru Fu
ABSTRACT Translation serves as a vital link in connecting individuals from diverse cultural backgrounds, assuming greater significance in the context of globalization. With the continued growth of international communication, the importance of effective translation in fostering mutual understanding, exploring new horizons, and building relationships cannot be overstated. However, the persistent language
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Optimized Control Method for Fused Deposition 3D Printing Slice Contour Path Based on Improved Hopfield Neural Network Appl. Artif. Intell. (IF 2.8) Pub Date : 2023-06-05 Yuwei Dong, Bo Hu
ABSTRACT This paper presents a novel approach for optimizing the contour path of fused deposition 3D printing slices to mitigate the limitations of inefficiency and time consumption associated with the process. The proposed algorithm leverages the Hopfield Neural Network (HNN) and an improved whale optimization algorithm to plan the printing order of each contour and optimize the network parameters