Deep learning-based prediction of velocity and temperature distributions in metal foam with hierarchical pore structure by Yixiong Lin, Zhengqi Wu, Shiqi You, Chen Yang, Qinglian Wang, Wang Yin, Ting Qiu

“…Constrained by the substantial computational time required for numerical simulation, a deep learning technique is applied to investigate fluid flow and heat transfer processes in metal foam with a hierarchical pore structure. …”
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Trajectory Optimization with Dynamic Drivable Corridor-Based Collision Avoidance by Weijie Wang, Tantan Zhang, Zihan Song, Haipeng Liu

“…Collision avoidance constraints introduce significant computational complexity due to their inherent non-convex and nonlinear characteristics. …”
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Advancing energy optimization in building systems through multi-scale sensitivity, adaptive modeling, and real-time management by Yaser Issam Hamodi Al-Janabi, Sameer Algburi, Omer Al-Dulaimi, Hassan Falah Fakhruldeen, Azamat Makhmudov, Doaa H. Khalaf, Talib Munshid Hanoon, Feryal Ibrahim Jabbar, Ali Khudhair Al-Jiboory, Qusay Hassan, Stella Kiconco

“…Case studies demonstrate how the methodology leverages BASS models to achieve rapid and precise sensitivity outcomes essential for multi-time-scale energy evaluations. BASS models offer significant advantages, including high predictive accuracy and efficient computation of sensitivity metrics without relying on Monte Carlo integrals. …”
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Advancements in energetic metal-organic frameworks, alkali and alkaline earth metal salts, and transition metal complexes: Predictive models for detonation velocity, heat, and pres... by Mohammad Hossein Keshavarz, Nasser Hassanzadeh, Mohammad Jafari

“…Furthermore, it accommodates a broader range of compounds, including those containing Sr, Cd, and Ag, and provides predictions for EMOFs that are more consistent with computer code outputs than previous predictive models.…”
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False data injection attack dataset for classification, identification, and detection for IIoT in Industry 5.0Zenodo by A K M Ahasan Habib, Mohammad Kamrul Hasan, Rosilah Hassan, Shayla Islam, Huda Saleh Abbas

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Structural bioinformatics approaches for predicting novel drug targets in hepatitis C virus proteins: a comprehensive analysis by Miao Qu, Mingzhu Gao, Xisheng Sang, Miao Yu, Zihe Guan, Weizhi Chang

“…Abstract This study employs structural bioinformatics approaches to identify and evaluate potential drug targets within the Hepatitis C virus (HCV) proteome. …”
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Ethanol properties effects on its reaction with Mo-doped SnO2 clusters: A gas sensor model by Mudar Ahmed Abdulsattar, Rashid Hashim Jabbar, Mohammed A. Al-Seady

“…The reaction of ethanol with pristine and Mo-doped SnO2 is computed and compared to experimental results. The comparison includes response, response time, and the effect of humidity. …”
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Measuring Asymmetric Ionic Current Waveform Through Micropores for Detecting Reduced Red Blood Cell Deformability Due to <i>Plasmodium falciparum</i> Infection by Kazumichi Yokota, Ken Hirano, Kazuaki Kajimoto, Muneaki Hashimoto

“…The decrease in RBC deformability associated with malarial infection was measured using ektacytometry, and only mean values were evaluated. In this study, we report the development of a microfluidic sensing device that can evaluate decreased RBC deformability at the single-cell level by measuring ionic current waveforms through micropores. …”
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Handwritten Text Recognition of Ukrainian Manuscripts in the 21st Century: Possibilities, Challenges, and the Future of the First Generic AI-based Model by Aleksej Tikhonov, Achim Rabus

“…This article reports on developing and evaluating a generic Handwritten Text Recognition (HTR) model created for the automatic computer-assisted transcription of Ukrainian handwriting publicly available via the HTR platform Transkribus. …”
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Estimation of state of health for lithium-ion batteries using advanced data-driven techniques by Smitanjali Rout, Sudhansu Kumar Samal, Demissie Jobir Gelmecha, Satyasis Mishra

“…A comprehensive comparison using performance metrics such as root mean squared error, mean absolute error, and R2 scores highlights the LSTM model’s superiority while evaluating the suitability of other approaches. The proposed method not only improves estimation accuracy but also reduces computational demands through optimized feature selection and model training strategies, making it highly suitable for real-time applications in lightweight electric vehicles with limited computational resources. …”
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TRANSFORMER VS. MAMBA AS SKIN CANCER CLASSIFIER: PRELIMINARY RESULTS by Владислав Нікітін, Валерій Данілов

“…The goal is to determine if Mamba can provide a computationally efficient alternative to ViT without decrease in diagnostics accuracy. …”
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A Pilot Validation Study of a Biomechanical Simulation Model for Rotational Ankle Injuries Using Robotic Cadaveric Testing by Mohammad Amin Shayestehpour MSc, Martin G. Gregersen PT, MSc, Ola Saatvedt MD, Øystein Bjelland PhD, Marius Molund MD, PhD

“…Methods: A biomechanical computer simulation model was developed using AnyBody Modeling Software to evaluate ligament strain in rotational ankle injuries. …”
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Uncertainty CNNs: A path to enhanced medical image classification performance by Vasileios E. Papageorgiou, Georgios Petmezas, Pantelis Dogoulis, Maxime Cordy, Nicos Maglaveras

“…The proposed DL model was evaluated using three datasets: (a) brain magnetic resonance imaging (MRI), (b) lung computed tomography (CT) scans, and (c) cardiac MRI. …”
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The Logic of Hebbian Learning by Caleb Kisby, Saúl Blanco, Lawrence Moss

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Time Series Forecasting Using Recurrent Neural Networks Based on Recurrent Sigmoid Piecewise Linear Neurons by Victor Sineglazov, Vladyslav Horbatiuk

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Toward Drought Modeling in South Asia: Machine Learning Approaches, Challenges, and Opportunities by Mana Saleh Al Reshan, Muhammad Owais Raza, Naeem Ahmed Mahoto, Adel Rajab, Asadullah Shaikh, Mohamed A. Elmagzoub, Khairan D. Rajab

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Development of an Automated Estimating Electronic Weighing Scale by Olalekan OGUNBIYI, Oloruntoba C. MOHAMMED, Lambe Mutalub ADESINA

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KanuriSenti: A novel dataset for sentiment analysis in the under-resourced Kanuri languageMendeley Data by Bashir Maina Saleh, Saurabh Bilgaiyan, Santwana Sagnika

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Loads Mismatch and Network Voltage Behavior for Future Planning of Demand Response With Customer Satisfaction by Ismail Arafat, Eduardo Castillo-Guerra, Julian Meng

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The classification method of donkey breeds based on SNPs data and machine learning by Dekui Li, Dekui Li, Xiaolong Hu, Yongdong Peng

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