Numerical Analysis of Submerged Horizontal Plate Wave Energy Converter Device Considering Float Effects by Rodrigo Costa Batista, Marla Rodrigues de Oliveira, Elizaldo Domingues dos Santos, Luiz Alberto Oliveira Rocha, Liércio André Isoldi, Mateus das Neves Gomes

“…This study proposes a three-dimensional numerical wave tank (NWT) to calculate wave propagation and hydrodynamic forces based on the Navier–Stokes equation, using commercial Computational Fluid Dynamic (CFD) software ANSYS Fluent. …”
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Drug Repurposing for Non-Alcoholic Fatty Liver Disease by Analyzing Networks Among Drugs, Diseases, and Genes by Md. Altaf-Ul-Amin, Ahmad Kamal Nasution, Rumman Mahfujul Islam, Pei Gao, Naoaki Ono, Shigehiko Kanaya

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UltraLightSqueezeNet: A Deep Learning Architecture for Malaria Classification With Up to 54× Fewer Trainable Parameters for Resource Constrained Devices by Suresh Babu Nettur, Shanthi Karpurapu, Unnati Nettur, Likhit Sagar Gajja, Sravanthy Myneni, Akhil Dusi, Lalithya Posham

“…These models were implemented to evaluate the best performing variant that achieves superior computational efficiency without sacrificing accuracy in malaria blood cell classification. …”
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Distributed Storage System for Electric Power Data Based on HBase by Jiahui Jin, Aibo Song, Huan Gong, Yingying Xue, Mingyang Du, Fang Dong, Junzhou Luo

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Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability by Sankar Murugesan, Jayaprakash Chinnadurai, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Radha Raman Chandan, Usha Moorthy

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Analysis to Predict the Number of New Students At UNU Pasuruan using Arima Method by Fachri Ayudi Fitrony, Laksmita Dewi Supraba, Tessa Rantung, I Made Artha Agastya, Kusrini Kusrini

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Acidithiobacillus ferrooxidans Leaching of Silica-Sulfide Gold Ores from May-Hibey Deposits, Tigray, Ethiopia by Goitom Gebreyohannes Berhe, Desta Berhe Sbhatu, Samuel Estifanos Gebre, Kiros Hagos Abay, Genet Gebryohannes Mhretu, Gebrekidan Mebrahtu Tesfamariam, Samuel Alemayehu Lapiso, Mulugeta Sisay Cheru, Afewerk Gebre Meressa

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Early detection of vascular catheter-associated infections employing supervised machine learning - a case study in Lleida region by Radu Spaimoc, Jordi Mateo, Francesc Solsona, Alfredo Jover-Sáenz, Fernando Barcenilla, María Ramírez-Hidalgo, Marcos Serrano, Miquel Mesas, Dídac Florensa

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Design and Development of Diabetes Management System Using Machine Learning by Robert A. Sowah, Adelaide A. Bampoe-Addo, Stephen K. Armoo, Firibu K. Saalia, Francis Gatsi, Baffour Sarkodie-Mensah

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Depth based: No Reference Stereoscopic Image Quality Assessment by S. Kiruthika, J. Joshan Athanesious, D. Rushma

“…A core enabler of this transition is depth computation through stereoscopic images, which is crucial for rendering realistic 3D scenes. …”
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Discovering temporal, spatial, and contextual anomalous social activities from streaming social media datasets by Mete Celik, Ahmet Sakir Dokuz, Alper Ecemis, Emre Erdogmus

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ROPGCViT: A Novel Explainable Vision Transformer for Retinopathy of Prematurity Diagnosis by Mustafa Yurdakul, Kubra Uyar, Sakir Tasdemir, Irfan Atabas

“…This situation can lead to delayed diagnosis and inaccurate evaluations. Therefore, the need for computer-aided diagnosis (CAD) systems is increasing day by day. …”
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Effective Tumor Annotation for Automated Diagnosis of Liver Cancer by Yi-Hsuan Chuang, Ja-Hwung Su, Tzu-Chieh Lin, Hue-Xin Cheng, Pin-Hao Shen, Jin-Ping Ou, Ding-Hong Han, Yi-Wen Liao, Yeong-Chyi Lee, Yu-Fan Cheng, Tzung-Pei Hong, Katherine Shu-Min Li, Yi Lu, Chih-Chi Wang

“…So-called tumor annotation refers to tagging the tumor in Biomedical images by computer vision technologies such as Deep Learning. …”
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Automatic Navigation and Self-Driving Technology in Agricultural Machinery: A State-of-the-Art Systematic Review by Md. Sabbir Hossain, Mostafijur Rahman, Ashifur Rahman, Md. Mohsin Kabir, M. F. Mridha, Jie Huang, Jungpil Shin

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Environmentally Friendly Synthesis of New Mono- and Bis-Pyrazole Derivatives; In Vitro Antimicrobial, Antifungal, and Antioxidant Activity; and In Silico Studies: DFT, ADMETox, and... by Oussama Merzouki, Nadia Arrousse, Elhachmia Ech-chihbi, Ashwag S. Alanazi, El Houssine Mabrouk, Mohamed Hefnawy, Abdelfattah El Moussaoui, Hanane Touijer, Azeddin El Barnossi, Mustapha Taleb

“…Biological activities were assessed through DPPH and FRAP antioxidant assays, as well as disk diffusion and MIC methods, against bacterial strains (<i>Pseudomonas aeruginosa</i>, <i>Staphylococcus aureus</i>, and <i>Escherichia coli</i>) and fungal strains (<i>Candida albicans</i> and <i>Aspergillus niger</i>). Computational ADMET profiling evaluated pharmacokinetics and toxicity, while molecular docking assessed interactions with target proteins, including catalase, topoisomerase IV, and CYP51. …”
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A Comparative Study of Advanced Transformer Learning Frameworks for Water Potability Analysis Using Physicochemical Parameters by Enes Algül, Saadin Oyucu, Onur Polat, Hüseyin Çelik, Süleyman Ekşi, Faruk Kurker, Ahmet Aksoz

“…Traditional laboratory-based methods for evaluating water potability are often time-consuming, costly, and labour-intensive. …”
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Securing IoT-Cloud Applications with AQ-KGMO-DMG Enhanced SVM for Intrusion Detection by Konduru Siva Naga Narasimharao, P. V. Lakshmi

“…A notable innovation in this methodology involves the transformation of raw traffic vector data into a visual representation, thereby reducing computational costs significantly. To reduce the computation cost further, the raw traffic vector data is converted into picture format. …”
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A lightweight vision transformer with weighted global average pooling: implications for IoMT applications by Huiyao Dong, Igor Kotenko, Shimin Dong

“…However, deploying ViTs in resource-constrained IoMT environments requires addressing the challenge of adapting these computationally intensive models to meet device limitations while maintaining efficiency. …”
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Activation-Guided Low-Rank Parameter Adaptation for Efficient Model Fine-Tuning by Qingchen Wang, Shengyu Shen

“…Fine-tuning large language models is computationally expensive, and while existing parameter-efficient methods like Low-Rank Adaptation (LoRA) reduce computational costs, they are limited by suboptimal initialization strategies. …”
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Non-Iterative Estimation of Multiscale Geographically and Temporally Weighted Regression Model by Ya-Di Dai, Hui-Guo Zhang

“…Simulation experiments are conducted to evaluate the performance of the proposed non-iterative method compared to traditional methods and the backfitting-based approach in terms of coefficient estimation accuracy and computational efficiency. …”
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