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TGLC: Visual object tracking by fusion of global-local information and channel information Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-28 Shuo Zhang, Dan Zhang, Qi Zou
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Machine learning and deep learning techniques for poultry tasks management: a review Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-28 Thavamani. Subramani, Vijayakumar. Jeganathan, Sruthi. Kunkuma Balasubramanian
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Telecommunication fraud resilient framework for efficient and accurate detection of SMS phishing using artificial intelligence techniques Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-28 Devendra Sambhaji Hapase, Lalit Vasantrao Patil
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A lightweight fragile audio watermarking method using nested hashes for self-authentication and tamper-proof Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-28 Ahmed A. AlSabhany, Ahmed Hussain Ali, Mahmood Alsaadi
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FLAG: frequency-based local and global network for face forgery detection Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-28 Kai Zhou, Guanglu Sun, Jun Wang, Jiahui Wang, Linsen Yu
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Nucleus segmentation from the histopathological images of liver cancer through an efficient deep learning framework Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Sunesh, Jyoti Tripathi, Anu Saini, Sunita Tiwari, Sunita Kumari, Syed Noeman Taqui, Hesham S. Almoallim, Sulaiman Ali Alharbi, S. S. Raghavan
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Augmented reality aid in diagnostic assistance for breast cancer detection Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Mohamed Amine Guerroudji, Kahina Amara, Nadia Zenati
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Performance Analysis of Machine Learning Based On Optimized Feature Selection for Type II Diabetes Mellitus Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Salliah Shafi Bhat, Gufran Ahmad Ansari, Mohd Dilshad Ansari
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Digital audio tampering detection based on spatio-temporal representation learning of electrical network frequency Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27
Abstract The majority of Digital Audio Tampering Detection (DATD) methods, which are based on Electrical Network Frequency (ENF), predominantly concentrate on the static spatial information of ENF. Unfortunately, this focus neglects the temporal variation present in the ENF time series. This limitation significantly hampers the ENF feature representation capability, consequently diminishing the overall
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Real-time motion estimation based video steganography with preserved consistency and local optimality Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Hassan Mohamed, Ahmed Elliethy, Amr Abdelaziz, Hussein Aly
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Adaptive cuckoo search algorithm based fuzzy C means clustering with random walker algorithm for liver segmentation using CT images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 S. Subha, Kumaran
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Autism spectrum disorder based on squeezenet with fractional tasmanian rat swarm optimization Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Satish Muppidi, G. Anuradha, K. Valarmathi
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Cross-domain attention-guided domain adaptive method for image real rain removal Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Yuexian Liu, Mingwen Shao, Yuanshuo Cheng, Yecong Wan, Minggui Han
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Advancing mammography breast mass detection through diffusion segmentation Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Mohamed Amine Guerroudji, Kahina Amara, Nadia Zenati
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Diagnostic classification of autism spectrum disorder using sMRI improves with the morphological distance-related features compared to morphological features Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Gokul Manoj, Vaibhavi Gupta, Aditi Bhattacharya, Shaik Gadda Abdul Aleem, Dhanvi Vedantham, Amalin Prince A, Jac Fredo Agastinose Ronickom
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AMCB: Authenticated Medical Cyber-Physical Blockchain model Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Hind A. Al-Ghuraybi, Mohammed A. AlZain, Ben Soh
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Spectrum sharing framework in full duplex mode with minimum interference in 5G cellular network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27
Abstract Spectral sharing with in-band full-duplex (FD) primary users (PUs) in cognitive radio (CR) systems is a difficult and challenging task. The ability of the secondary user (SU) to access the spectrum could be substantially impeded by the primary network's self-interference. We propose a novel dynamic spectrum sharing (DSS) scheme while satisfying In-band FD technology as the mitigation of strong
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Effective skin cancer prediction using hybrid Xception and XGBoost approach tuned by honey badger optimization Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27
Abstract One of the several malignancies that can afflict humans and spread the fastest is skin cancer. The most and most serious kind of skin cancer, melanoma typically starts out on the skin's surface before spreading deeper into the skin layers. But melanoma patients have a 96% survival rate with straightforward and affordable treatments if they are discovered at an early stage. Expert dermatologists
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Classification of cervical spine disease using convolutional neural network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27
Abstract Cervical spondylosis myelopathy (CSM) is a degenerative disorder of the cervical spine’s disks and joints, leading to neurological disability. Typically, this condition causes increasing discomfort and neurologic deterioration. Cervical spine pain disease classification using deep learning can assist medical professionals in making early and more precise medical diagnosis of cervical abnormalities
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An efficient recognition of Handwritten Kannada Script using Variable Attention-based Coati Integrated Bi Directional Long Short-Term Memory Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 S. R. Siddanna, Y. C. Kiran
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SCA-GANomaly: an unsupervised anomaly detection model of high-speed railway catenary components Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Shijie Wang, Qijie Zou, Bing Gao
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Enhanced GRU-BiLSTM Technique for Crop Yield Prediction Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-27 Swati Vashisht, Praveen Kumar, Munesh Chandra Trivedi
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Automated multi-class skin cancer classification using white shark optimizer with ensemble learning classifier on dermoscopy images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 R. Vijay Arumugam, S. Saravanan
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Multi-objective optimization for worldview image segmentation funded on the entropies of havrda–charvat and exponential Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Saleh El Joumani, Khalid El Amraoui, Salah Eddine Mechkouri, Rachid Zennouhi, Lhoussaine Masmoudi
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AMCB: enhancing the authentication process with blockchain integrated with PUF and machine learning Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Hind A. Al-Ghuraybi, Mohammed A. AlZain, Ben Soh
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A design of machine learning-based adaptive signal processing strategy for ECG signal analysis Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Nilankar Bhanja, Sanjib Kumar Dhara, Prabodh Khampariya
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RW-HeCo: A random walk and network centrality based graph neural network for community detection in heterogeneous networks Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Atul Kumar Verma, Mahipal Jadeja, Saurabh Jayaswal
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Highly efficient gaze estimation method using online convolutional re-parameterization Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 De Gu, Minghao Lv, Jianchu Liu, Mari Anne Snow
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Using Twitter to analysis of social innovation through user comments data mining Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Ali Asghar Sadabadi, Faraz Mehraien
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Small object detection in diverse application landscapes: a survey Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Iqra, Kaisar J. Giri, Mohammed Javed
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Generative adversarial networks (GANs): Introduction, Taxonomy, Variants, Limitations, and Applications Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Preeti Sharma, Manoj Kumar, Hitesh Kumar Sharma, Soly Mathew Biju
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Comprehensive design of the 3D printing process for architectural models. A case study: the medieval walled enclosure of Priego De Cordoba (E1:200) Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26
Abstract Nowadays, an object can be viewed both physically and virtually. In both cases, the visualization process consists in a continuous variation of the observer’s perspective. When looking at objects, visual interactivity is achieved by the tandem formed by human vision and the position of the observer. 3D technology allows the viewer to delve into this aspect: starting from a virtual reconstruction
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FusFormer: global and detail feature fusion transformer for semantic segmentation of small objects Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Zheng Li, Houjin Chen, Jupeng Li, Song Peng, Zhenhao Zhang, Baozheng Wang, Changyong Wang
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Optimized deep autoencoder and BiLSTM for intrusion detection in IoTs-Fog computing Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Abdullah Alqahtani
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A video data hiding technique based on pixel sequence, weight interpolation and quorum function Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 R. Roselinkiruba, C. Saranya Jothi, C. P. Koushik, A. Keerthika, Vanlin Sathya
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Blockchain-based trust management for data exchange in internet of vehicle network Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Sandeep Srivastava, Deepshikha Agarwal, Brijesh Kumar Chaurasia, Mainak Adhikari
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A transformer based real-time photo captioning framework for visually impaired people with visual attention Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Abubeker Kiliyanal Muhammed Kunju, S. Baskar, Sherin Zafar, Bushara A R, Rinesh S, Shafeena Karim A
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Deep learning of fundus images and optical coherence tomography images for ocular disease detection – a review Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26
Abstract Deep Learning (DL) has proliferated interest in ocular disease detection in recent years, and several DL architectures were proposed. DL architectures deploy multiple layers to capture features in fundus images and ocular computed tomography images which in turn are used for the classification of images or segmentation of regions-of-interest in images. Notable among them are convolutional
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CP_DeepNet: a novel automated system for COVID-19 and pneumonia detection through lung X-rays Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-26 Muhammad Hamza Mehmood, Farman Hassan, Auliya Ur Rahman, Wasiat Khan, Samih M. Mostafa, Yazeed Yasin Ghadi, Abdulmohsen Algarni, Mudasser Ali
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Identifying patients in need of psychological treatment with language representation models Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 İrfan Aygün, Buket Kaya, Mehmet Kaya
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Optimized recurrent neural network based brain emotion recognition technique Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 G. Ravi Kumar Reddy, A. Durga Bhavani, Venkata Krishna Odugu
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DCL-depth: monocular depth estimation network based on iam and depth consistency loss Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25
Abstract The self-supervised monocular depth estimation algorithm obtains excellent results in outdoor environments. However, traditional self-supervised depth estimation methods often suffer from edge blurring in complex textured regions and the loss of depth information in pixels within weakly-textured areas. To enhance the perception ability of the deep network for complex textured areas and the
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Asymmetric network pseudo labels mutual refinement for unsupervised domain adaptation person re-identification Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Xiao Yun, Jiawang Chen, Xiaoguang Zhang, Kaiwen Dong, Song Li, Yanjing Sun
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An efficient and lightweight small target detection framework for vision-based autonomous road cleaning Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Cheng Hu, Mengyao Ni, Danhua Cao
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Deep feature-support vector machine based hybrid model for multi-crop leaf disease identification in Corn, Rice, and Wheat Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Amit Bhola, Prabhat Kumar
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Hybrid CNN-ViT architecture to exploit spatio-temporal feature for fire recognition trained through transfer learning Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Mohammad Shahid, Hong-Cyuan Wang, Yung-Yao Chen, Kai-Lung Hua
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Aspect-oriented extraction and sentiment analysis using optimized hybrid deep learning approaches Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Srividya Kotagiri, A. Mary Sowjanya, B. Anilkumar, N Lakshmi Devi
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An efficient hybrid multifactor mutual authentication and session key agreement scheme for patient monitoring system using IoMT Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Shanvendra Rai, Rituparna Paul, Subhasish Banerjee, Preetisudha Meher
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Intelligent organic matter prediction of agriculture soil using satellite images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Mallekedi Anand, Anuj Jain, Manoj Kumar Shukla
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White balancing based improved nighttime image dehazing Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Sami Ullah, Najmul Hassan, Naeem Bhatti, Muhammad Zia, Jungpil Shin
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Designing CNNs with optimal architectures using antlion optimization for plant leaf recognition Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Davar Giveki, Ali Zaheri, Negin Allahyari
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Privacy preservation of medical data in blockchain with secret key generation using RideNN Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Sonali Rokade, Nilamadhab Mishra
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Text recuperated using ontology with stable marriage optimization technique and text visualization using AR Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Imene Ouali, Mohamed Ben Halima, Nesrine Masmoudi, Manel Ayadi, Latifa Almuqren, Ali Wali
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IDSDeep-CCD: intelligent decision support system based on deep learning for concrete cracks detection Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 Sayel M. Abualigah, Ahmad F. Al-Naimi, Gagan Sachdeva, Omran AlAmri, Laith Abualigah
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RSA-fusion: radar spatial attention fusion for object detection and classification Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25
Abstract Object detection and classification in urban transportation scenarios lack robustness on a single sensor under extreme weather conditions. Radar-vision fusion is a promising routine for its informational complementarity. Previous feature-fusion routines mostly use concatenation, element-wise add, and multiply, which ignores the potential association between multimodal information. In order
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Multi-feature Fusion Deep Network for Skin Disease Diagnosis Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25
Abstract The skin acts as an important barrier between the body and the external environment, playing a vital role as an organ. The application of deep learning in the medical field to solve various health problems has generated increasing interest. The objective of this research is to create a new model using a deep network with multi-feature fusion that enables accurate identification of various
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Gaussian weighting—based random walk segmentation and DCNN method for brain tumor detection and classification Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25 K. Vijila Rani, G. Sumathy, L. K. Shoba, P. Sivalakshmi
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Merged CNNs for the classification of EEG motor imagery signals Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25
Abstract The using of Electroencephalography (EEG) signals for motor imagery (MI) has recently gained significant attention due to their remarkable ability to detect an individual’s intention to perform specific actions. MI signals have proven useful in enabling individuals with disabilities to control devices such as wheelchairs through neural commands, and have even expanded into applications like
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Automatic approach for breast cancer detection based on deep belief network using histopathology images Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-25
Abstract Histopathological images play an essential role in breast cancer diagnosis, prognosis, and treatment planning. Early and accurate diagnosis leads to better treatment outcomes, higher survival rates, less aggressive treatments, minimised treatment side effects, reduced healthcare costs, and maintained quality of life. It is necessary to create a comprehensive and technologically advanced diagnostics
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Multi-view hyperspectral image classification via weighted sparse representation Multimed. Tools Appl. (IF 3.6) Pub Date : 2024-03-22 Yue Zhao, Yao Qin, Zhifei Li, Wenxin Huang, Rui Hou