Real-Time Multi-Task Deep Learning Model for Polyp Detection, Characterization, and Size Estimation by Phanukorn Sunthornwetchapong, Kasichon Hombubpha, Kasenee Tiankanon, Satimai Aniwan, Pasit Jakkrawankul, Natawut Nupairoj, Peerapon Vateekul, Rungsun Rerknimitr

“…A proven method for enhancing performance is computer-aided detection and a diagnosis system for endoscopists, which tends to be a real-time system. …”
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Bioinformatics and System Biological Approaches for the Identification of Genetic Risk Factors in the Progression of Cardiovascular Disease by Joy Dip Barua, Shudeb Babu Sen Omit, Humayan Kabir Rana, Nitun Kumar Podder, Utpala Nanda Chowdhury, Md Habibur Rahman

“…Our experimental outcomes indicate a strong association of CVD with its risk factors of HTN, T2D, HCL, obesity, and aging. Conclusions. Our computational approach explored the genetic association of CVD with its risk factors by identifying the significant DEGs, hub proteins, and signaling and ontological pathways. …”
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Comprehensive Review of Wearable Antennas With Flexible Periodic Structures for Body-Effect Mitigation by Adel Ashyap, Raad Raad, Faisel Tubbal, Wajid Ali Khan, Suhila Abulgasem

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Effect of Manganese Ions on Spectroscopic and Insulating Properties of Aluminophosphate Glasses by B. Kassa, J. Leta Tesfaye, B. Bulcha, R. Kiran, T. Deepak, Dayanand Lal, S. Venkatesh, R. Krishnaraj

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AI-Driven Meat Food Drying Time Prediction for Resource Optimization and Production Planning in Smart Manufacturing by Rajnish Rakholia, Andres L. Suarez-Cetrulo, Manokamna Singh, Ricardo Simon Carbajo

“…Recognizing the potential of advanced computational techniques, machine learning algorithms have demonstrated promising results across various predictive tasks in recent years. …”
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Redundancy Model and Boundary Effects Based Coverage-Enhancing Algorithm for 3D Underwater Sensor Networks by Junjie Huang, Lijuan Sun, Xun Wei, Peng Sun, Haiping Huang, Ruchuan Wang

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Development of a Mobile Application Platform for Self-Management of Obesity Using Artificial Intelligence Techniques by Sylvester M. Sefa-Yeboah, Kwabena Osei Annor, Valencia J. Koomson, Firibu K. Saalia, Matilda Steiner-Asiedu, Godfrey A. Mills

“…The micro- and macronutrients of food content are used for the computation and prediction of the potential foods required to meet the daily calorie needs. …”
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Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques by Prince Odame, Maxwell Mawube Ahiamadzor, Nana Kwaku Baah Derkyi, Kofi Agyekum Boateng, Kelvin Sarfo‐Acheampong, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah, Dorothy Araba Yakoba Agyapong, Jerry John Kponyo

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Single-shot super-resolved fringe projection profilometry (SSSR-FPP): 100,000 frames-per-second 3D imaging with deep learning by Bowen Wang, Wenwu Chen, Jiaming Qian, Shijie Feng, Qian Chen, Chao Zuo

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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

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Unveiling user identity across social media: a novel unsupervised gradient semantic model for accurate and efficient user alignment by Yongqiang Peng, Xiaoliang Chen, Duoqian Miao, Xiaolin Qin, Xu Gu, Peng Lu

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The effect of resizing on the natural appearance of scintigraphic images: an image similarity analysis by Siraj Ghassel, Amir Jabbarpour, Jochen Lang, Eric Moulton, Eric Moulton, Ran Klein, Ran Klein, Ran Klein, Ran Klein

“…For each resizing method, we computed the similarity of resized images to count-matched images acquired at the target grid size with the structural similarity index measure and the logarithm of the mean squared error. …”
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Fast EEG/MEG BEM-based forward problem solution for high-resolution head models by William A. Wartman, Guillermo Nuñez Ponasso, Zhen Qi, Jens Haueisen, Burkhard Maess, Thomas R. Knösche, Konstantin Weise, Gregory M. Noetscher, Tommi Raij, Sergey N. Makaroff

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Profile to frontal face recognition in the wild using coupled conditional generative adversarial network by Fariborz Taherkhani, Veeru Talreja, Jeremy Dawson, Matthew C. Valenti, Nasser M. Nasrabadi

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Revisiting ‘revisiting supervised methods for effort‐aware cross‐project defect prediction’ by Fuyang Li, Peixin Yang, Jacky Wai Keung, Wenhua Hu, Haoyu Luo, Xiao Yu

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An Investigation of Infrared Small Target Detection by Using the SPT–YOLO Technique by Yongjun Qi, Shaohua Yang, Zhengzheng Jia, Yuanmeng Song, Jie Zhu, Xin Liu, Hongxing Zheng

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CMACGSA: Improved Gravitational Search Algorithm Based on Cerebellar Model Articulation Controller for Optimization by Nazmiye Ebru Bulut, Emre Dandil, Ugur Yuzgec, Alpaslan Duysak

“…By employing the CMAC neural network, CMACGSA dynamically learns the masses of particles/agents of GSA, enabling a learning-driven approach to mass computation. Additional enhancements include Lévy mutation, boundary control methods and an error handling mechanism, which together improve the robustness and adaptability of the algorithm. …”
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DeepRetention: A Deep Learning Approach for Intron Retention Detection by Zhenpeng Wu, Jiantao Zheng, Jiashu Liu, Cuixiang Lin, Hong-Dong Li

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Deep Ensemble Learning for Human Action Recognition in Still Images by Xiangchun Yu, Zhe Zhang, Lei Wu, Wei Pang, Hechang Chen, Zhezhou Yu, Bin Li

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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…In recent years, significant strides in deep learning have propelled the advancement of electromyography (EMG)-based upper-limb gesture recognition systems, yielding notable successes across a spectrum of domains, including rehabilitation, orthopedics, robotics, and human-computer interaction. Despite these achievements, prevailing methodologies often overlook the intrinsic physical configurations and interconnectivity of multi-channel sensory inputs, resulting in a failure to adequately capture relational information embedded within the connections of deployed EMG sensor network topology. …”
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