Leveraging machine learning models in evaluating ADMET properties for drug discovery and development by Magesh Venkataraman, Gopi Chand Rao, Jeevan Karthik Madavareddi, Srinivas Rao Maddi

Get full text

Implementation of Alpha-Beta Pruning and Transposition Tables on Checkers Game by Cristian C. Suancha, Marco J. Suarez, Felipe A. Besoain

“…This research contributes to the field of game AI optimization by integrating alpha-beta pruning and transposition tables into a web-based checkers game. …”
Get full text

How do generative artificial intelligence (AI) tools and large language models (LLMs) influence language learners’ critical thinking in EFL education? A systematic review by Jing Liu, Ahmad Johari Bin Sihes, Ye Lu

“…Abstract As generative artificial intelligence (AI) tools and large language models (LLMs)-powered applications develop rapidly in the era of algorithms, it should be integrated thoughtfully to enhance English as a Foreign Language (EFL) teaching and learning without replacing learners’ critical thinking (CT). …”
Get full text

A systematic literature review on the role of artificial intelligence in citizen science by Germain Abdul-Rahman, Andrej Zwitter, Noman Haleem

“…(2) How does AI integration impact the efficiency and scalability of CS initiatives? …”
Get full text

Multi-Criteria Decision-Making Algorithm based on HyperSoft Set for Civil Litigation Efficiency Evaluation in the Context of Artificial Intelligence by Feng Xue

Get full text

Artificial Intelligence—What to Expect From Machine Learning and Deep Learning in Hernia Surgery by Robert Vogel, Björn Mück

“…This mini-review explores the integration of Artificial Intelligence (AI) within hernia surgery, highlighting the role of Machine Learning (ML) and Deep Learning (DL). …”
Get full text

Smart and Secure Healthcare with Digital Twins: A Deep Dive into Blockchain, Federated Learning, and Future Innovations by Ezz El-Din Hemdan, Amged Sayed

Get full text

Pioneering the Security of EHRs Using an Immersive Blockchain Conceptual Framework by Rihab Benaich, Youssef Gahi, Saida El Mendili

“…Novelty/Improvement lies in integrating hybrid blockchain, quantum cryptography, AI, and the metaverse into a unified framework, effectively addressing current and future healthcare data management challenges. …”
Get full text

Activity cliff-aware reinforcement learning for de novo drug design by Xiuyuan Hu, Guoqing Liu, Yang Zhao, Hao Zhang

“…Experimental evaluations across multiple protein targets demonstrate ACARL’s superior performance in generating high-affinity molecules compared to existing state-of-the-art algorithms. These findings indicate that ACARL effectively integrates SAR principles into the RL-based drug design pipeline, offering a robust approach for de novo molecular design Scientific contribution Our work introduces a machine learning-based drug design framework that explicitly models activity cliffs, a first in AI-driven molecular design. …”
Get full text

Ethical dimensions of artificial intelligence in graphic design: challenges, opportunities and the future of creative practice by Sandra Dedijer, Nemanja Kašiković, Magdolna Pál, Ivana Jurič, Živko Pavlović, Saša Petrović, Gala Golubović

“…Additionally, the potential displacement of human workers by automated systems raises concerns about job loss and the redefinition of the designer’s role in the creative process. The ethical use of AI in graphic design spans multiple dimensions: algorithmic bias, user privacy, transparency of sources and influence, and questions of ownership and intellectual property. …”
Get full text

Technological Advancements in Human Navigation for the Visually Impaired: A Systematic Review by Edgar Casanova, Diego Guffanti, Luis Hidalgo

“…It was also found that AI systems employ deep learning and neural networks to optimize both navigation accuracy and energy efficiency. …”
Get full text

Externally validated and clinically useful machine learning algorithms to support patient-related decision-making in oncology: a scoping review by Catarina Sousa Santos, Mário Amorim-Lopes

“…Convolutional neural networks were most prevalent, demonstrating high performance, followed by gradient- and decision tree-based algorithms. Other algorithms, though underrepresented, showed promise. …”
Get full text

Modelling the future of cleaner energy: Explainable artificial intelligence model for green hydrogen production rate estimation by Okorie Ekwe Agwu, Saad Alatefi, Ahmad Alkouh

Get full text

Artificial intelligence-integrated video analysis of vessel area changes and instrument motion for microsurgical skill assessment by Taku Sugiyama, Minghui Tang, Hiroyuki Sugimori, Marin Sakamoto, Miki Fujimura

“…A dual AI framework was developed, integrating a semantic segmentation model for artificial blood vessel analysis with an instrument tip-tracking algorithm. …”
Get full text

Artificial Intelligence and Ethical Dimensions of Automated Traffic Enforcement: Implications for Public Health, Healthcare Equity, and Social Justice by Patricia Haley

“…This study provides a critical examination of AI-integrated speed and red-light camera systems through the theoretical lenses of Surveillance Capitalism, the Panopticon Model, Social Control Theory, Technological Determinism, and Structural Violence Theory. …”
Get full text

Structural knowledge-driven meta-learning for task offloading in vehicular networks with integrated communications, sensing and computing by Ruijin Sun, Yao Wen, Nan Cheng, Wei Wang, Rong Chai, Yilong Hui

Get full text

Bagging Vs. Boosting in Ensemble Machine Learning? An Integrated Application to Fraud Risk Analysis in the Insurance Sector by Ruixing Ming, Osama Mohamad, Nisreen Innab, Mohamed Hanafy

Get full text

An Improved Soft Actor–Critic Task Offloading and Edge Computing Resource Allocation Algorithm for Image Segmentation Tasks in the Internet of Vehicles by Wei Zou, Haitao Yu, Boran Yang, Aohui Ren, Wei Liu

“…Simulation experiments were conducted to compare the PER-iSAC algorithm against baseline algorithms (Standard SAC and PPO). …”
Get full text

Optimal load frequency control system for two-area connected via AC/DC link using cuckoo search algorithm by Gaber EL-SAADY, Alexey MIKHAYLOV, Nora BARANYAI, Mahrous AHMED, Mahmoud HEMEIDA

Get full text

Deep VMD-attention network for arrhythmia signal classification based on Hodgkin-Huxley model and multi-objective crayfish optimization algorithm. by Hang Zhao, Xiongfei Yin

“…A multi-objective optimization method based on non-dominated sorting was integrated into the crayfish optimization algorithm (MOCOA). …”
Get full text