AAD-YOLO: An Improved YOLOv8 Model for Complex Remote Sensing Scenarios by Yue Hong, Yi Shu, Shuo Guo

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AutoML for calorific value prediction using a large database from the coal gasification practices in China by Yuchao Guo, Xia Liu, Yunfei Gao, Xiaoyu Wang, Lu Ding, Weitong Pan, Cheng Hua, Yulian He, Xueli Chen, Zhenghua Dai, Guangsuo Yu, Fuchen Wang

“…Abstract Calorific value is one of the most important properties of coal. Machine learning (ML) can be used in the prediction of calorific value to reduce experimental costs. …”
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Influencing Mechanism of the Social Role of Government Digital Human on Public Adoption Behavior by WEI Tianyu, LIU Zhongyi, ZHANG Ning

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Islamic-based anti-corruption education to build integrity zones among ma'had al-jami'ah students at uin Maulana Malik Ibrahim Malang by Gufron Gufron, Dewi Chamidah, M. Anwar Firdausy, Inayatur Rosyidah

“…Positioning the integrative-inclusive anti-corruption education model based on Qami' al-Thughyan's book material more applicatively as a learning approach.…”
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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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A comprehensive review on application of drone, virtual reality and augmented reality with their application in dragline excavation monitoring in surface mines by Piyush Singh, Vmsr Murthy, Dheeraj Kumar, Simit Raval

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Detecting Adversarial Examples Using Cross-Modal Semantic Embeddings From Images and Text by Sohee Park, Gwonsang Ryu, Daeseon Choi

“…When the embeddings extracted from an image and its label are semantically similar, they are closely positioned in this space. Based on these observations, we compared the similarities between the embeddings of the input images with those of their corresponding labels to detect adversarial examples. …”
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Refraction-Aware Structure from Motion for Airborne Bathymetry by Alexandros Makris, Vassilis C. Nicodemou, Evangelos Alevizos, Iason Oikonomidis, Dimitrios D. Alexakis, Anastasios Roussos

“…In this work, we introduce the first pipeline that combines a refraction-aware structure from motion (SfM) method with a deep learning model specifically designed for airborne bathymetry. …”
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A Semi-Automated, Hybrid GIS-AI Approach to Seabed Boulder Detection Using High Resolution Multibeam Echosounder by Eoin Downing, Luke O’Reilly, Jan Majcher, Evan O’Mahony, Jared Peters

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MISDP: multi-task fusion visit interval for sequential diagnosis prediction by Shengrong Zhu, Ruijia Yang, Zifeng Pan, Xuan Tian, Hong Ji

“…The MISDP framework integrated sequential diagnosis prediction with visit interval prediction within a multi-task learning paradigm. It uses positional encoding and interval encoding to handle irregular patient visit intervals. …”
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A novel muirhead mean operators based decision algorithm with applications in the orientation of basketball players using circular q-rung orthopair fuzzy information by Changyou Wang

“…Abstract Modern basketball players depend on decision-making techniques to enhance their position orientation and performance results. The way a player positions, together with their effectiveness and gameplay strategy, changes based on what they have learned and the amount of experience they have gained. …”
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Development and Validation of a Dynamic Real-Time Risk Prediction Model for Intensive Care Units Patients Based on Longitudinal Irregular Data: Multicenter Retrospective Study by Zhuo Zheng, Jiawei Luo, Yingchao Zhu, Lei Du, Lan Lan, Xiaobo Zhou, Xiaoyan Yang, Shixin Huang

“…ObjectiveWe aimed to develop a real-time, interpretable risk prediction model that continuously assesses ICU patient mortality using irregular, longitudinal EMR data, with improved performance and generalizability over traditional static scoring systems. MethodsA time-aware bidirectional attention-based long short-term memory (TBAL) model was developed using EMR data from the MIMIC-IV (Medical Information Mart for Intensive Care) and eICU Collaborative Research Database (eICU-CRD) databases, comprising 176,344 ICU stays. …”
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Acceptability of Home‐Based Urine Self‐Collection for Cervical Cancer Screening Among Women Receiving Care at the Arab Community Center for Economic and Social Services in Michigan... by Timothy C. Guetterman, Christelle El Khoury, Madiha Tariq, Ghada Aziz, Asraa Alhawli, Martha L. Alves, Elizabeth Haro, Emma A. Butcher, Alexandra H. Vinson, Diane M. Harper

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Psychological security in the digital classroom by Larysa P. Zhuravlova, Liubov V. Pomytkina, Alla I. Lytvynchuk, Tetiana V. Mozharovska

“…Teachers with moderate online engagement (6-18 hours weekly) demonstrated the most positive associations with distance learning but paradoxically reported feeling less secure in this environment. …”
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Pedestrian navigation: how can inertial measurment units assist smartphones? by I. A. Chistyakov, I. V. Grishov, A. A. Nikulin, M. V. Pikhletsky, I. B. Gartseev

“…Such trajectories can be used both for verification of classical algorithms of navigation or for application of machine learning technics. Reconstruction of closed trajectories based on data from foot-mounted inertial measurement units (IMU) is investigated. …”
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xAAD–Post-Feedback Explainability for Active Anomaly Discovery by Damir Kopljar, Vjekoslav Drvar, Jurica Babic, Vedran Podobnik

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METHODOLOGY OF PRACTICE-ORIENTED RESEARCH ACTIVITIES OF STUDENTS DURING PEDAGOGICAL INTERNSHIP: BUILDING NATIONAL IDENTITY IN MULTICULTURAL ENVIRONMENT by Tatyana L. Oskolova

“…Proposed investigation is based on formal requirements of national education including analysis of specific educational activities in ethnically and culturally diverse society.Methods. …”
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Dual-Stage AI Model for Enhanced CT Imaging: Precision Segmentation of Kidney and Tumors by Nalan Karunanayake, Lin Lu, Hao Yang, Pengfei Geng, Oguz Akin, Helena Furberg, Lawrence H. Schwartz, Binsheng Zhao

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Exploring the Impact of Computer-Supported Input Flooding and Input Enhancement on EFL Learners' Collaborative Oral Performance in Blended and Virtual Classes by Mojtaba Khademi, Fatemeh hemmati, Farzaneh Khodabandeh, Malihe Mousavi

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An optimized support vector machine for lung cancer classification system by Mayowa O. Oyediran, Olufemi S. Ojo, Ibrahim A. Raji, Abidemi Emmanuel Adeniyi, Oluwasegun Julius Aroba, Oluwasegun Julius Aroba

“…The goal of thisresearch is to enhance machine learning to increase the precision and quality of lung cancer classification.MethodsThe dataset was obtained from an open-source database and was utilized for testing and training. …”
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