Predicting drug protein interactions based on improved support vector data description in unbalanced data by Alireza Khorramfard, Jamshid Pirgazi, Ali Ghanbari Sorkhi

“…Computational approaches, especially those leveraging machine learning, are increasingly popular. This paper introduces VASVDD, a multi-step method to predict drug-protein interactions. …”
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Automated classification of chondroid tumor using 3D U-Net and radiomics with deep features by Tuan Le Dinh, Seungeun Lee, Hyemin Park, Sungwon Lee, Hyeondeok Choi, Keum San Chun, Joon-Yong Jung

“…Abstract Classifying chondroid tumors is an essential step for effective treatment planning. Recently, with the advances in computer-aided diagnosis and the increasing availability of medical imaging data, automated tumor classification using deep learning shows promise in assisting clinical decision-making. …”
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Digital Twin-Based Framework for Real-Time Monitoring and Analysis of Urban Mobile-Source Emissions by Peter Zhivkov, Stefka Fidanova, Ivan Dimov

“…This study introduces a digital twin paradigm that uses both stationary and mobile sensors and cutting-edge machine learning for urban air quality monitoring. By boosting <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> values from 0.29 to 0.87–0.95, our two-step calibration method increased the accuracy of low-cost PM sensors, showing the possibility of growing monitoring networks without sacrificing measurement accuracy. …”
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Energy consumption forecasting and thermal insulator selection with random forest regression by Mohammed Fellah, Salma Ouhaibi, Naoual Belouaggadia, Khalifa Mansouri

“…After designing this database, a preprocessing step was performed to analyze the distribution of the Φ index to be predicted. …”
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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

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Intelligent frequency control of AC microgrids with communication delay: An online tuning method subject to stabilizing parameters by Komeil Nosrati, Vjatseslav Skiparev, Aleksei Tepljakov, Eduard Petlenkov, Juri Belikov

“…This one-of-a-kind combination of ANN, RL, and advanced PID tuning methods is a big step forward in how we handle frequency control problems in isolated AC microgrids. …”
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IonoBench: Evaluating Spatiotemporal Models for Ionospheric Forecasting Under Solar-Balanced and Storm-Aware Conditions by Mert Can Turkmen, Yee Hui Lee, Eng Leong Tan

“…Accurate modeling of ionospheric variability is critical for space weather forecasting and GNSS applications. While machine learning approaches have shown promise, progress is hindered by the absence of standardized benchmarking practices and narrow test periods. …”
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Deep linear matrix approximate reconstruction with integrated BOLD signal denoising reveals reproducible hierarchical brain connectivity networks from multiband multi-echo fMRI by Wei Zhang, Wei Zhang, Alexander Cohen, Michael McCrea, Pratik Mukherjee, Pratik Mukherjee, Yang Wang

“…Fortunately, rapid advancements in fMRI scanning techniques and deep learning methods open a novel frontier to map the spatial hierarchy within Brain Connectivity Networks (BCNs). …”
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Comparative Analysis of dNBR, dNDVI, SVM Kernels, and ISODATA for Wildfire-Burned Area Mapping Using Sentinel-2 Imagery by Sang-Hoon Lee, Myeong-Hwan Lee, Tae-Hoon Kang, Hyung-Rai Cho, Hong-Sik Yun, Seung-Jun Lee

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DeepVinci: Organ and Tool Segmentation with Edge Supervision and a Densely Multi-Scale Pyramid Module for Robot-Assisted Surgery by Li-An Tseng, Yuan-Chih Tsai, Meng-Yi Bai, Mei-Fang Li, Yi-Liang Lee, Kai-Jo Chiang, Yu-Chi Wang, Jing-Ming Guo

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A Novel Approach of Wind Turbine Blade Root Load Monitoring Based on Bearings Vibrational Data and a New AE‐LSTM‐Attention Neural Network by Feiyun Cong, Chen Liang, Weifei Hu, Tongzhou Zhang, Feng Tang, Qihao Zhou

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Two-stage augmentation for detecting malignancy of BI-RADS 3 lesions in early breast cancer by Huanhuan Tian, Li Cai, Yu Gui, Zhigang Cai, Xianfeng Han, Jianwei Liao, Li Chen, Yi Wang

“…And each lesion had both B-mode and color Doppler images. We proposed a two-step augmentation method, covering malignancy feature augmentation and data augmentation, and further verified its feasibility on a dual-branches ResNet50 classification model named Dual-ResNet50. …”
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MDNN-DTA: a multimodal deep neural network for drug-target affinity prediction by Xu Gao, Xu Gao, Mengfan Yan, Mengfan Yan, Chengwei Zhang, Chengwei Zhang, Gang Wu, Gang Wu, Jiandong Shang, Jiandong Shang, Congxiang Zhang, Congxiang Zhang, Kecheng Yang, Kecheng Yang

“…Determining drug-target affinity (DTA) is a pivotal step in drug discovery, where in silico methods can significantly improve efficiency and reduce costs. …”
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Two-decade spatiotemporal variations in ground-level ozone over Ontario, Canada by Zhou Zang, Jane Liu, Erjia Ge, Yi Zhang

“…Understanding long-term trends and spatially explicit details of O3 is important for supporting air quality management in Ontario.MethodWe construct a high-resolution (daily, 10 km) dataset of maximum daily 8-hour average O3 (MDA8 O3) over Ontario from 2004 to 2023, through a two-step machine learning model. The model has incorporated our hypothesis that accounting for transboundary influences can enhance the accuracy of O3 estimation.ResultsValidation against in-situ measurements confirms the hypothesized high accuracy of the dataset (R2 = 0.82, RMSE = 4.99 ppb), outperforming the traditional model and two existing datasets. …”
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A Smart Motor Rehabilitation System Based on the Internet of Things and Humanoid Robotics by Yasamin Moghbelan, Alfonso Esposito, Ivan Zyrianoff, Giulia Spaletta, Stefano Borgo, Claudio Masolo, Fabiana Ballarin, Valeria Seidita, Roberto Toni, Fulvio Barbaro, Giusy Di Conza, Francesca Pia Quartulli, Marco Di Felice

“…Specifically, we propose the I-TROPHYTS framework, which introduces a step-change in motor rehabilitation by advancing towards more sustainable medical services and personalized diagnostics. …”
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Towards ROXAS AI: automatic multi-species ring boundaries segmentation as regression in anatomical images by Marc Katzenmaier, Marc Katzenmaier, Vivien Sainte Fare Garnot, Jan Dirk Wegner, Georg von Arx, Georg von Arx

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Improving diagnostic precision in thyroid nodule segmentation from ultrasound images with a self-attention mechanism-based Swin U-Net model by Changan Yang, Muhammad Awais Ashraf, Mudassar Riaz, Pascal Umwanzavugaye, Kavimbi Chipusu, Kavimbi Chipusu, Hongyuan Huang, Yueqin Xu

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Robust Real-Time Cancer Tracking via Dual-Panel X-Ray Images for Precision Radiotherapy by Jing Wang, Jingjing Dai, Na Li, Chulong Zhang, Jiankai Zhang, Zuledesi Silayi, Haodi Wu, Yaoqing Xie, Xiaokun Liang, Huailing Zhang

“…This study introduces an innovative, deep learning-based approach for real-time, markerless lung tumor tracking utilizing orthogonal X-ray projection images. …”
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Advanced Estimation of Winter Wheat Leaf’s Relative Chlorophyll Content Across Growth Stages Using Satellite-Derived Texture Indices in a Region with Various Sowing Dates by Jingyun Chen, Quan Yin, Jianjun Wang, Weilong Li, Zhi Ding, Pei Sun Loh, Guisheng Zhou, Zhongyang Huo

“…Sentinel-2 imagery was employed to extract vegetation indices (VIs) and TIs. Following a two-step variable selection method, Random Forest (RF)-LassoCV, five machine learning algorithms were applied to develop estimation models. …”
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Vibration Signal Analysis for Intelligent Rotating Machinery Diagnosis and Prognosis: A Comprehensive Systematic Literature Review by Ikram Bagri, Karim Tahiry, Aziz Hraiba, Achraf Touil, Ahmed Mousrij

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