Optimized Deep Neural Network for High-Precision Psoriasis Classification from Dermoscopic Images by Charu Bolia, Sunil Joshi

“…This compact design with low trainable parameters reduces the computational time and memory makes the model well-suited for deployment for portable devices and enabling real-time mobile-based dermatological assessments. …”
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Power Load Forecasting Method Based on MT-BSGP by LI Zhi-yong, SU Yin-sheng, LI Bin, LIU Chun-xiao, LI Bao, TAN Shou-biao

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Mean limiting pressure factors determination in contiguous pile walls using RAFELA and nonlinear regression models in spatially random soil by Divesh Ranjan Kumar, Sittha Kaorapapong, Warit Wipulanusat, Suraparb Keawsawasvong

“…The models were evaluated using several statistical performance parameters, scatter plots, residual error curves, and eight statistical performance metrics to ensure predictive accuracy and reliability. …”
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A Noise-Immune Boosting Framework for Short-Term Traffic Flow Forecasting by Shiqiang Zheng, Shuangyi Zhang, Youyi Song, Zhizhe Lin, Dazhi Jiang, Teng Zhou

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Image Super Resolution Reconstruction Based on Multi-Level Residual Skip Connection Network by WANG Xiaoyu, LU Jianyu, WEI Yuxin, YU Yue

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Optimized Error Detection and Correction in ATM Networks Using the Enhanced Berlekamp Massey Algorithm With Hybrid Automatic Repeat Request by Mahmut Aykac

“…Asynchronous Transfer Mode (ATM) is a widely used communication method known for its high bandwidth features and low latency. It uses fixed size cells, namely 53 bytes, including 48 bytes for the real data and five bytes set for control purposes. …”
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Modular Autonomous Virtualization System for Two-Dimensional Semiconductor Quantum Dot Arrays by Anantha S. Rao, Donovan Buterakos, Barnaby van Straaten, Valentin John, Cécile X. Yu, Stefan D. Oosterhout, Lucas Stehouwer, Giordano Scappucci, Menno Veldhorst, Francesco Borsoi, Justyna P. Zwolak

“…Our method employs machine learning techniques to rapidly extract features from two-dimensional charge stability diagrams. …”
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Treatment of COVID-19 Patients Using Some New Topological Indices by Shahid Amin, M. A. Rehman, Amir Naseem, Ilyas Khan, Mulugeta Andualem

“…We also plotted our computed results to examine how they were affected by the parameters involved. …”
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NID-DETR: A novel model for accurate target detection in dark environments by Qingyuan Pan, Qiang Liu, Wei Huang

“…Current mainstream algorithms face challenges in extracting meaningful features under low-light conditions, which significantly limits their effectiveness. …”
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Hypersensitivity pneumonitis in a child (observational data for six years): A clinical case by V. S. Chulkov, L. V. Medvedeva, E. E. Minina, E. V. Fastakovskaya

“…Improvements were noted in both volume and flow parameters on spirometry, with no restrictive disorders observed; the most indicative changes were revealed in the dynamics of high-resolution computed tomography.Conclusion. …”
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Electric vehicle battery state of charge estimation using metaheuristic-optimized CatBoost algorithms by Mohd Herwan Sulaiman, Zuriani Mustaffa, Ahmad Salihin Samsudin, Amir Izzani Mohamed, Mohd Mawardi Saari

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Application of state of health estimation and remaining useful life prediction for lithium-ion batteries based on AT-CNN-BiLSTM by Feng-Ming Zhao, De-Xin Gao, Yuan-Ming Cheng, Qing Yang

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Machine learning algorithms to predict the tensile strength of novel composite materials by S. Sathees Kumar, P. Shyamala, Pravat Ranjan Pati

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Long-Term Vital Sign Tracking Study of Depression Patients Based on Wearable Devices by Yuebo Jin, Yadong Huang

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Adaptive Output-Feedback Control for Switched Nonlinear Systems with Unknown Control Directions by Elham Ovaysi, Marzieh Kamali

“…These features can lead to the simplicity of controller design and the reduction of computational burden. …”
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Phase and amplitude gradient waveguide coupled metasurfaces by Yasaman Tanhayivash, Hadi Soofi, Saeid Nikmehr

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SYNTHESIS OF QUASI BAND LADDER TRANSFORMING HIGH ORDER FILTERS by A. E. Kurochkin

“…The purpose of the work, the results of which are presented in the article, was to develop a computerized mathematical model of the ladder filter to study the features of the synthesis of matching chains of any order on its basis. …”
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Lightweight deep learning model with ResNet14 and spatial attention for anterior cruciate ligament diagnosis by Herman Herman, Yogan Jaya Kumar, Sek Yong Wee, Vinod Kumar Perhakaran

“…In this study, we contribute to the development of an automated diagnostic model for anterior cruciate ligament (ACL) tears using a lightweight deep learning model, specifically ResNet-14, combined with a Spatial Attention mechanism to enhance diagnostic performance while conserving computational resources. The model processes knee MRI scans using a ResNet architecture, comprising a series of residual blocks and a spatial attention mechanism, to focus on the essential features in the imaging data. …”
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A numerical study of the relevance of the electrode-tissue contact area in the application of soft coagulation by Christoph Busch, Stefan J. Rupitsch, Knut Moeller

“…Consequently, it is essential to consider the contact area in computational simulations and the development of novel control features for safer and more reliable electrocoagulation.…”
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The glass transition temperature investigation of polymers by molecular dynamic simulations by П. Саидахметов, И. Пиянзина, Г. Байман, О. Недопекин, Д. Таюрский

“…The glass transition temperature is influenced by a large number of polymer parameters: cooling rate, pressure, presence of diluent, structural features, etc. …”
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