Efficient joint resource allocation using self organized map based Deep Reinforcement Learning for cybertwin enabled 6G networks by Nivetha A, Preetha KS

Get full text

A two-stage forecasting model using random forest subset-based feature selection and BiGRU with attention mechanism: Application to stock indices. by Shafiqah Azman, Dharini Pathmanathan, Vimala Balakrishnan

“…First, a random forest subset-based (RFS) feature selection with repeated [Formula: see text]-fold cross-validation selects the best subset of features from eight predictors: highest price, lowest price, closing price, volume, change, price change ratio, and amplitude. …”
Get full text

Comprehensive analysis of arc methods of 3D printing of metal products: assessment of the efficiency and prospects of using TIG as a heat source by Andrii Horbenko, Constantine Zvorykin

“… In recent years, additive technologies have become increasingly important for the production of parts with complex geometries, enabling the rapid and efficient creation of objects with different shapes and configurations in industrial sectors such as medicine, aerospace and construction. …”
Get full text

Biohybrid ZnCr-LDH/Spirogyra algae composite for selective adsorption from multi-dye anionic mixtures: Toward enhanced removal of direct yellow by Alfan Wijaya, Nur Ahmad, Laila Hanum, Elda Melwita, Yulizah Hanifah, Aldes Lesbani

Get full text

EnsembleXAI-Motor: A Lightweight Framework for Fault Classification in Electric Vehicle Drive Motors Using Feature Selection, Ensemble Learning, and Explainable AI by Md. Ehsanul Haque, Mahe Zabin, Jia Uddin

“…RFE-CV is found to be very effective in feature selection and helps to construct a lightweight and cost-effective ensemble voting model for enhancing fault diagnosis for EV Drive Motors, overcoming its unsatisfactory transparency, accuracy, and computational efficiency. …”
Get full text

Spatially optimized allocation of water and land resources based on multi-dimensional coupling of water quantity, quality, efficiency, carbon, food, and ecology by Yingbin Wang, Haiqing Wang, Jiaxin Sun, Peng Qi, Wenguang Zhang, Guangxin Zhang

“…These enhancements enable the algorithm to explore the solution space more efficiently when addressing complex multi-objective problems to validate the effectiveness and practicality of the COM-WL model, we selected the Daan Irrigation District as the study area. …”
Get full text

Sponge-like Modified White-Rot Fungi Adsorbent for Rapid Removal of Pb(II) and Cd(II) from Solution: Selective Performance and Mechanistic Insights by Chunxiao Wang, Zhirong Chen, Nana Wang, Jianqiao Wang, Runshen He, Yu Chen, Haerfosai Nuhu, Hang Chen, Zhixuan Lin, Minqi Fan, Mingdong Chang

“…Mechanistic analyses (XRD, FTIR, and XPS) revealed that removal occurs via ion exchange, complexation, and precipitation, forming stable compounds like PbS/CdS and PbCO₃/CdCO₃. …”
Get full text

Single-Entry Selective Trunk Block (S-SeTB): An Innovative Approach to Complete Upper Extremity Anesthesia in Weapon-Wounded Patients in Low-Resource Settings by Shabani M, Crespo S, Raingeval X

“…Compared to conventional selective trunk blocks or hybrid brachial plexus approaches, the S-SeTB required lower anesthetic volumes (20– 25 mL) and demonstrated reduced procedural complexity and risks (eg, pneumothorax, vascular puncture).Conclusion: The S-SeTB, combined with SCP and intercostobrachial nerve blocks, offers a reliable, resource-efficient, and safer alternative to traditional brachial plexus block techniques. …”
Get full text

Orthogonal Multi‐Swarm Greedy Selection Based Sine Cosine Algorithm for Optimal FACTS Placement in Uncertain Wind Integrated Scenario Based Power Systems by Sunilkumar P. Agrawal, Pradeep Jangir, Arpita, Sundaram B. Pandya, Anil Parmar, Mohammad Khishe, Bhargavi Indrajit Trivedi

“…This study proposes a novel hybrid metaheuristic approach, the Orthogonal Multi‐swarm Greedy Selection Sine Cosine Algorithm (OMGSCA), integrating orthogonal learning, multi‐swarm mechanisms, and greedy selection to enhance solution quality. …”
Get full text

Development of New Electricity System Marginal Price Forecasting Models Using Statistical and Artificial Intelligence Methods by Mehmet Kızıldağ, Fatih Abut, Mehmet Fatih Akay

“…Overall, this study presents a novel and comprehensive approach tailored for complex electricity markets, significantly enhancing predictive reliability by incorporating economic indicators and sophisticated feature selection methods.…”
Get full text

A Machine Learning Model for Predicting Breast Cancer Recurrence and Supporting Personalized Treatment Decisions Through Comprehensive Feature Selection and Explainable Ensemble Le... by Lee TF, Shiau JP, Chen CH, Yun WP, Wuu CS, Huang YJ, Yeh SA, Chen HC, Chao PJ

“…However, traditional risk prediction models often lack accuracy and do not fully capture the complexity of patient data.This study developed an ensemble learning model to predict breast cancer recurrence more accurately by integrating LASSO feature selection and multiple machine learning models. …”
Get full text

ITap: Index Finger Tap Interaction by Gaze and Tabletop Integration by Jeonghyeon Kim, Jemin Lee, Jung-Hoon Ahn, Youngwon Kim

“…The primary purpose of this research is to enhance interaction efficiency, reduce user fatigue, and improve accuracy in gaze-based object selection tasks, particularly in complex and cluttered XR environments. …”
Get full text

A review on atomically modified materials by atomic layer deposition for wastewater treatment by Asif Jan, Melike Begum Tanis-Kanbur, Luuk C. Rietveld, Sebastiaan G.J. Heijman

“…ALD enables nanoscale engineering of materials, offering unprecedented control over surface chemistry, pore structure, and functional properties for improved wastewater treatment efficiency. This review critically examines the advancements in ALD-modified membranes and adsorbents for industrial wastewater treatment, highlighting how ALD enhances adsorption kinetics and selectivity in adsorbents, improves hydrophilicity and antifouling behavior in polymeric membranes, and enhances chemical and mechanical stability in ceramic membranes. …”
Get full text

Investigation of Formation Fluid During the Development of Fields on the Kara Sea Shelf by E. I. Inyakina, E. E. Levitina, K. O. Ryabikova, V. V. Inyakin

Get full text

Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

“…This study introduces a novel framework leveraging Rough Set Theory (RST)-based feature selection—MLReduct, MLSpecialReduct, and MLFuzzyRoughSet—to enhance machine learning performance on uncertain data. …”
Get full text

A multistrategy improved hunger games search algorithm by Qiu Yihui, Zhang Xinqiang, Li Ruoyu, Li Dongyi, Xia Feihan

“…Moreover, a binary variant, BMHGS_V3, using sigmoid transformation, attains an average classification accuracy of 92.3% on ten UCI datasets for feature selection tasks. The proposed MHGS algorithm provides a novel and effective framework for solving complex optimization problems, demonstrating significant theoretical and practical value in the field of computational intelligence.…”
Get full text

Chelating Properties of N₆O-Donors Toward Cu(II) Ions: Speciation in Aqueous Environments and Catalytic Activity of the Dinuclear Complexes by Andrea Cendron, Martina Chianese, Kamil Zarzycki, Paolo Ruzza, Claudia Honisch, Justyna Brasuń, Mauro Carraro

“…This study investigates the speciation, chelating efficiency, and metal selectivity of these ligands, as well as the antioxidant activity of the resulting complexes under aqueous and physiologically relevant conditions. …”
Get full text

Vitamin-herbal flour from Rhaponticum carthamoides in the diets of dairy cows by Nikolay A. Morozkov, Lyudmila S. Terentyeva, Elena V. Sukhanova, Vladimir A. Voloshin

“…The experiment was carried out according to the generally accepted method with the selection of analog pairs. The cows of the control group received a feeding ration consisting of feeds available at the dairy complex. …”
Get full text

Model of the resource allocation system structure based on the functional-network principle of representing indicators by Roman A. Khalturin, Igor Yu. Kashtanov, Vladimir D. Kutkov, Nikita S. Akinshin

“…Methods include mathematical modeling, probabilistic distribution analysis, and efficiency assessment of resource allocation in complex transport systems. …”
Get full text

Presenting a model for determining the level of technological complexity of research and development activities in knowledge-based companies (case study: companies based in Golesta... by Gholamali shahmoradi, Taghi Torabi, Reza Radfar, Mohammadhasan Cheraghali

“…Then, during three stages of coding (open, central and selective), the influential factors in determining the level of complexity were identified and the research model was formed. …”
Get full text