Feature Selection Using a Genetic Algorithms and Fuzzy logic in Anti-Human Immunodeficiency Virus Prediction for Drug Discovery by Houda Labjar, Mohammad Al-Sarem, Mohamed Kissi

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A Comprehensive Review on Document Image Binarization by Bilal Bataineh, Mohamed Tounsi, Nuha Zamzami, Jehan Janbi, Waleed Abdel Karim Abu-ain, Tarik AbuAin, Shaima Elnazer

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Decision Feedback Equalization-Based Low-Complexity Interference Cancellation and Signal Detection Technique Based for Non-Orthogonal Signaling by Myung-Sun Baek, Hyoung-Kyu Song

“…To address this challenge, this paper explores a matrix computation-based interference cancellation technique tailored for FTN communication systems, aiming to significantly reduce the complexity of the ISI mitigation process. …”
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Kidney Segmentation with LinkNetB7 by Cihan Akyel

“…In this sense, segmentation of kidneys on computed tomography images (CT) will contribute to the diagnosis process. …”
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Binding Energies of Small Interstellar Molecules on Neutral and Charged Amorphous Solid Water Surfaces by Tobe Vorsselmans, Erik C. Neyts

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Positive feedback technique and split‐length transistors for DC‐gain enhancement of two‐stage op‐amps by Seyed Mahmoud Anisheh, Hossein Shamsi, Mitra Mirhassani

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Experimental and Numerical Study of Slug-Flow Velocity Inside Microchannels Through In Situ Optical Monitoring by Samuele Moscato, Emanuela Cutuli, Massimo Camarda, Maide Bucolo

“…Miniaturization and reliable, real-time, non-invasive monitoring are essential for investigating microfluidic processes in Lab-on-a-Chip (LoC) systems. Progress in this field is driven by three complementary approaches: analytical modeling, computational fluid dynamics (CFD) simulations, and experimental validation techniques. …”
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Code generation system based on MDA and convolutional neural networks by Gabriel Vargas-Monroy, Daissi-Bibiana Gonzalez-Roldan, Carlos Enrique Montenegro-Marín, Alejandro-Paolo Daza-Corredor, Daniel-David Leal-Lara, Daniel-David Leal-Lara

“…Specifically, we developed a system that employs computer vision, deep learning, and MDA to generate source code from the diagrams describing the system and the respective study cases, thereby providing solutions to the proposed problems.Results and discussionThe results demonstrate the effectiveness of employing computer vision and deep learning techniques to process images and extract relevant information. …”
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CircPac: A web-based analysis toolset for exploring circular RNA dataGitHub by Amir Hossein Foroutan, Sadra Salehi-Mazandarani, Maryam Lotfi-Shahreza, Parvaneh Nikpour

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Presenting an Innovative Method Based on Ensemble Learning for a Credit Approval System by Eshonkulov Uchkun, Elmurodov Tulkin, Ravshanov Zavqiddin, Каramanov Asqar

“…Notably, the major innovation of this work lies in the exceptional accuracy and computational efficiency demonstrated by the proposed method, which significantly enhances the performance of data classification processes within credit approval systems by enabling faster decision-making and more reliable credit risk assessments.…”
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Human–AI Co-Drawing: Studying Creative Efficacy and Eye Tracking in Observation and Cooperation by Yuying Pei, Linlin Wang, Chengqi Xue

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Microstructure Evolution and the Influence on Residual Stress in Metal Additive Manufacturing with Analytics by Wei Huang, Hamid Garmestani, Steven Y. Liang

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An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare by Arfan Ghani, Akinyemi Aina, Chan Hwang See

“…Addressing the challenges posed by constrained dataset sizes, compute-intensive AI algorithms, and hardware limitations, the approach presented in this paper leverages efficient image augmentation and pre-processing techniques to enhance both prediction accuracy and the training efficiency. …”
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Artificial Intelligence as a Problem of Modern Sociology by V. A. Glukhikh, S. M. Eliseev, N. P. Kirsanova

“…Artificial intelligence is a metaphor that captures a certain level of human knowledge about the introduction of information technology, based on computer hardware and specialized software. To treat artificial intelligence as an empirical fact is a fallacy that is not appropriate in science.Conclusion. …”
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A framework for the simulation of individual glycan coordinates to analyze spatial relationships within the glycocalyx by Sarah Fritsche, Sarah Fritsche, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl, Leonhard Möckl

“…It plays crucial roles in various cellular processes in health and disease, such as cancer immune evasion, cancer immune therapy, blastocyst implantation, and functional attenuation of membrane protein diffusion. …”
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A machine learning-based detection, classification, and quantification of marine litter along the central east coast of India by Mallela Pruthvi Raju, Subramanian Veerasingam, V. Suneel, Fahad Syed Asim, Hana Ahmed Khalil, Mark Chatting, P. Suneetha, P. Vethamony

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Visual Angles and Emotional Valence Affect Temporal Dynamics of Neural Representations of Facial Expression: An MEG Study by Sanjeev Nara, Dheeraj Rathee, Nicola Molinaro, Naomi Du Bois, Braj Bhushan, Girijesh Prasad

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Sustainable Environmental Monitoring: Multistage Fusion Algorithm for Remotely Sensed Underwater Super-Resolution Image Enhancement and Classification by Wad Ghaban, Jawad Ahmad, Ali Akbar Siddique, Mohammad S. Alshehri, Anila Saghir, Faisal Saeed, Baraq Ghaleb, Mujeeb Ur Rehman

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Influence of attentional state on EEG-based motor imagery of lower limb by Penghai Li, Dongfang Yu, Longlong Cheng, Longlong Cheng, Kun Wang, Kun Wang

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