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ToxFuse: A Dual-Stream Hybrid AI Framework Integrating Contextual Transformers and Statistical Features for Toxic Comment Detection.
IEEE Transactions on Computational Social Systems, 1-12.
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Abdelaal, M. A. E.
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System and method for continuous non-invasive blood glucose monitoring using a mobile computing device based on a multiwavelength PPG signal.
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Allam, J. P.
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Cutting-edge Computational Intelligence in Healthcare with Convolution and Kronecker Convolution-based Approaches.
Academic Press.
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Abdelmotagally, H.
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DieleNet: Dielectric properties based breast cancer classification using deep learning.
Biomedical Signal Processing and Control, 113, 108981.
Elsevier.
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Aleissaee, A.
, Kalbani, B. A.
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A Hybrid CNN--SVR Framework for Non-Invasive Blood Glucose Estimation Using Photoplethysmography Signals.
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Urbaniak, I. A.
, Prakash, A. J.
, Walig\'ora, K.
, Patro, K. K.
, Sharma, H.
, & Thakur, D.
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Intelligent Breast Cancer Detection for Women’s Health: A CNN--FastKAN Hybrid Architecture with Strict Patient-Level Evaluation for Digital Pathology Consumer Systems.
IEEE Transactions on Consumer Electronics.
IEEE.
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Panigrahi, A.
, Mukherjee, A.
, Sharma, H.
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Information fusion for contactless respiration: Combining facial imaging photoplethysmography and upper-torso motion in canonical subspace.
Computers and Electrical Engineering, 139, 111391.
Elsevier.
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Prakash, A. J.
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Real-Time Multimodal Attention-State Classification on Resource-Constrained Edge Devices via Hardware-Aware CNN with Bayesian Optimization.
IEEE Access.
IEEE.
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Nair, G. K.
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The statistical unit determines the result: Image-level versus specimen-level evaluation in a 41-image liquid crystal microscopy case study.
Materials Today Communications, 116401.
Elsevier.
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Thati, J.
, Prakash, A. J.
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AdU-Net: glacial lake extraction and outburst risk assessment using satellite imagery.
IEEE Transactions on Artificial Intelligence.
IEEE.
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Khawatmi, A.
, Prakash, A. J.
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Cuffless Blood Pressure Estimation using Hybrid Deep Learning with Residual CNNs and Multi-Head Attention.
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Patro, K. K.
, Prakash, A. J.
, Tummalapalli, G.
, Lalitha Kumari, P.
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Detection of cardiac abnormalities in ECG signal using time-based signal processing algorithm.
International Journal of Computational Vision and Robotics, 15(1), 59--74.
Inderscience Publishers (IEL).
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Patro, K. K.
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MalNet-DAF: Dual-attentive fusion deep learning model for malaria parasite classification.
IEEE Journal of Biomedical and Health Informatics.
IEEE.
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Prakash, A. J.
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, Jelinek, H. F.
, Elfadel, I. M.
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Multimodal Signal Edge-Optimised Deep Learning Model for Real-Time Auditory Attention Classification.
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Prakash, A. J.
, Belkacem, A. N.
, Elfadel, I. M.
, Jelinek, H. F.
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Advances in machine and deep learning for ECG beat classification: A systematic review.
Frontiers in Digital Health, 7, 1649923.
Frontiers Media SA.
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Prakash, A. J.
, & Atef, M.
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Multi-scale feature extraction for ecg beat classification using a cnn-transformer network with imbalance mitigation.
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Prakash, A. J.
, Patro, K. K.
, Ingle, P.
, Pujari, J. J.
, Routray, S.
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BreastCancerNet: Flask-Enabled Attention-Driven Hybrid Dual DNN Framework for Real-Time Breast Cancer Prediction.
IEEE Journal of Biomedical and Health Informatics.
IEEE.
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Prakash, A. J.
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A lightweight deep learning approach for patient-specific electrocardiogram beat classification using local and long-term dependencies.
Engineering Applications of Artificial Intelligence, 152, 110754.
Elsevier.
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Allam, J. P.
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Multi-stream Bi-GRU network to extract a comprehensive feature set for ECG signal classification.
Biomedical Signal Processing and Control, 92, 106097.
Elsevier.
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Kavya, L.
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A review of shockable arrhythmia detection of ECG signals using machine and deep learning techniques.
International Journal of Applied Mathematics and Computer Science, 34(3), 485--511.
University of Zielona G\'ora.