Application of Machine Learning Models in Optimizing Wastewater Treatment Processes: A Review by Florin-Stefan Zamfir, Madalina Carbureanu, Sanda Florentina Mihalache

“…Thus, this paper identifies gaps in the current research, discusses ML and DL algorithms in the context of optimizing wastewater treatment processes, and identifies future directions for optimizing these processes through data-driven methods. …”
Get full text

A Novel Tool for Biodiversity Studies: Earthworm Classification via NGS and Neural Networks by Tadeusz Malewski, Ewa Ropelewska, Andrzej Skwiercz, Anastasiia Lutsiuk, Anita Zapałowska

“…., and <i>Lumbricus terrestris</i> were used as research materials. Image acquisition was performed using a flatbed scanner on a black background. …”
Get full text

Roman urdu hate speech detection using hybrid machine learning models and hyperparameter optimization by Waqar Ashiq, Samra Kanwal, Adnan Rafique, Muhammad Waqas, Tahir Khurshaid, Elizabeth Caro Montero, Alicia Bustamante Alonso, Imran Ashraf

“…Researchers developed various approaches to solve the automatic hate speech detection problem using different corpora in various languages, however, research on the Urdu language is rather scarce. …”
Get full text

An Integration of RNA Sequencing and Network Pharmacology Approaches Predicts the Molecular Mechanisms of the Huo-Xue-Shen Formula in the Treatment of Liver Fibrosis by Keying Jiang, Jianfeng Bao, Zhonghan Lou, Fei Liu, Keyang Xu, Hiu Yee Kwan

Get full text

Robustly measuring multimorbidity using disparate linked datasets by Regina Prigge, Kelly J. Fleetwood, Caroline A. Jackson, Stewart W. Mercer, Paul AT Kelly, Cathie Sudlow, John D. Norrie, Daniel R. Morales, Daniel J. Smith, Bruce Guthrie

“…We developed code-list-based algorithms to determine the prevalence of 80 LTCs in (1) primary care records, (2) UKB baseline assessment, (3) hospital/cancer registry records, and (4) all three data sources together. …”
Get full text

A Comprehensive Review of Optimizing Multi-Energy Multi-Objective Distribution Systems with Electric Vehicle Charging Stations by Mahesh Kumar, Aneel Kumar, Amir Mahmood Soomro, Mazhar Baloch, Sohaib Tahir Chaudhary, Muzamil Ahmed Shaikh

“…Thus, due to their numerous advantages, research is necessary to improve the technological aspects that can enhance electric vehicles’ overall performance and efficiency. …”
Get full text

Artificial Intelligence-Based Prediction of Bloodstream Infections Using Standard Hematological and Biochemical Markers by Ferhat DEMİRCİ, Murat AKŞİT, Aylin DEMİRCİ

Get full text

Quantum-Inspired Control Strategies for Reducing DC-Link Voltage Fluctuations in DFIG Wind Energy Converters by Sarika Shrivastava, Saifullah Khalid, Dinesh Kumar Nishad

Get full text

Universal multilayer network embedding reveals a causal link between GABA neurotransmitter and cancer by Léo Pio-Lopez, Michael Levin

“…However, drug discovery in the context of complex phenotypes are hampered by the difficulties inherent in producing machine learning algorithms that can integrate molecular-genetic, biochemical, physiological, and other diverse datasets. …”
Get full text

The Philosophy of Semar as an Ethical Framework for the Use of Artificial Intelligence by Mohamad Khusnial Muhtar, Naufal Robbiqis Dwi

“…While global discussions on AI ethics have predominantly centered on Western&nbsp;</span><span style="font-size: 1rem;">perspectives, this study explores ethical AI development through the lens of Semar philosophy,&nbsp;</span><span style="font-size: 1rem;">representing the local wisdom of Nusantara. Employing library research with a philosophical approach,&nbsp;</span><span style="font-size: 1rem;">this research analyzes some sources on Semar philosophy and its relevance to AI ethics. …”
Get full text

A comparative study of Mongolian medicine prescriptions in the Chinese Pharmacopoeia and Tibetan medicinal compounds in the Ministerial Standards by Ji Zang, Cai Rang-Zhou Tai, Jie-Jia Nan, Cai Rang-Nanjia

“…Such research could uncover new medicinal varieties, fostering the sustainable development of Tibetan and Mongolian medicine.…”
Get full text

Hybrid AI and semiconductor approaches for power quality improvement by Ravikumar Chinthaginjala, Asadi Srinivasulu, Anupam Agrawal, Tae Hoon Kim, Sivarama Prasad Tera, Shafiq Ahmad

“…Abstract This research presents a novel approach to improving electric power quality using semiconductor devices by integrating Machine Learning (ML), Deep Learning (DL), and advanced control strategies. …”
Get full text

Routine and Adaptive Experts: Individual Characteristics and Their Impact on Multidigit Arithmetic Strategy Flexibility and Mathematics Achievement by Lóa Björk Jóelsdóttir, Pernille Bødtker Sunde, Peter Sunde, Paul Andrews

Get full text

Responsible artificial intelligence in public health: a Delphi study on risk communication, community engagement and infodemic management by Keyrellous Adib, David Novillo-Ortiz, Ben Duncan, Daniela Mahl, Mike S Schäfer, Stefan Adrian Voinea, Cristiana Salvi

“…Challenges and risks affect all three components of RCCE-IM equally, with algorithmic bias and privacy breaches being of particular concern. …”
Get full text

Computational Intelligence-Based Structural Health Monitoring of Corroded and Eccentrically Loaded Reinforced Concrete Columns by Somain Sharma, Harish Chandra Arora, Aman Kumar, Denise-Penelope N. Kontoni, Nishant Raj Kapoor, Krishna Kumar, Arshdeep Singh

Get full text

Electricity Losses in Focus: Detection and Reduction Strategies—State of the Art by Daniela F. Niste, Radu Tîrnovan, Sorin Pavel, Horia Beleiu, Cziker Andrei, Marius Misaroș

“…In conclusion, this paper emphasizes the importance of the in-depth study of the energy domain to achieve performance and contribute to the improvement of power grids. Future research directions are based on the implementation of artificial intelligence (AI) algorithms to achieve this goal.…”
Get full text

Recent Advancements in Neuroimaging‐Based Alzheimer's Disease Prediction Using Deep Learning Approaches in e‐Health: A Systematic Review by Zia‐Ur‐Rehman, Mohd Khalid Awang, Ghulam Ali, Muhammad Faheem

“…This comprehensive review intends to examine current developments in deep learning (DL) approaches with neuroimaging for AD diagnosis, where popular imaging types, reviews well‐known online accessible data sets, and describes different algorithms used in DL for the correct initial evaluation of AD are presented. …”
Get full text

Comparative assessment of identification indicators of the mineral waters of the Nagutsky and Essentuksky deposits by the example of medical and table waters “Nagutskaya‑4” and “Es... by E. M. Sevostyanova, M. Yu. Ganin

Get full text

Comparative analysis of reinforcement learning and artificial neural networks for inverter control in improving the performance of grid-connected photovoltaic systems by Saad A. Mohamed Abdelwahab, Hossam Eldin Khairy, Hossam Yousef, Samia Abdafatah, Moayed Mohamed

“…Abstract This research aims to explore the potential applications of artificial intelligence (AI) methods, such as reinforcement learning (RL) and artificial neural networks (ANN), in controlling inverter systems and enhancing the performance of photovoltaic (PV) systems. …”
Get full text

ARTIFICIAL INTELLIGENCE IN ACADEMIA: OPPORTUNITY OR CHALLENGE? by L.H. Grigoryan, M. V. Badalyan, A.Z. Grigoryan

“…While numerous studies have explored AI's applications in learning management systems, automated grading, and research data analysis, this paper places a particular emphasis on the human dimension namely, how academic staff are responding to the integration of AI tools into their teaching and research practices. …”
Get full text