Secret key generation for reconfigurable intelligent surface‐assisted MISO multi‐user system by Kexin Liu, Mingliang Li, Kaizhi Huang, Zheng Wan, Qinlong Li, Xiaoli Sun, Xiaoming Xu, Liang Jin

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Enhancing the Accuracy and Speed of Object Detection and Distance Estimation to Improve the Safety of Autonomous Cars Movement by F. Kabiri, M. R. Delavar, L. Hajibabi, B. Nazari

“…The results were evaluated using Mean Absolute Error and Root Mean Squared Error, achieving a 20% increase in accuracy for obstacle detection compared to previous studies. Despite using more limited equipment, this research achieved comparable accuracy with respect to earlier works.…”
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Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

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Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework by Shujaat Ali, Muhammad Nadeem, Sheeraz Ahmed, Faheem Khan, Murad Khan, Abdullah Alharbi

“…Future research will explore integrating lightweight IoT protocols like Message Queue Telemetry Transport (MQTT) and Constrained Application Protocol (CoAP) to enhance the framework’s performance and reliability further.…”
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Improved Understanding of Multicentury Greenland Ice Sheet Response to Strong Warming in the Coupled CESM2‐CISM2 With Regional Grid Refinement by Ziqi Yin, Adam R. Herrington, Rajashree Tri Datta, Aneesh C. Subramanian, Jan T. M. Lenaerts, Andrew Gettelman

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Real-World Application of Digital Morphology Analyzers: Practical Issues and Challenges in Clinical Laboratories by Hanah Kim, Mina Hur, Giuseppe d’Onofrio, Gina Zini

“…However, recognizing rare and dysplastic cells remains challenging due to variable algorithmic performances, which affect diagnostic reliability. …”
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A study on the correlation between MBTI dimensions and driving behavior characteristics by Liwei Bai, Tao Wang, Jianyao Tu, Bozhezi Peng, Zhuoyu Wang

“…For example, in Cluster 1, Thinking (T) individuals accounted for 10.84% of the total population, compared to 15.09% for Feeling (F) individuals, while in Cluster 5, T individuals represented 17.48%, compared to 10.53% for F individuals. …”
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Ship-DETR: A Transformer-Based Model for EfficientShip Detection in Complex Maritime Environments by Yi Wang, Xiang Li

“…Ship-DETR achieved a mean average precision of 75.7% and 73.1% on the two datasets, respectively, representing an improvement of 3.5% and 1.9% compared to the baseline model. Compared with other mainstream object detection algorithms, our proposed model shows superior detection performance.…”
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Construction of a sleep staging prediction model for obstructive sleep apnea patients based on hypoxia parameters by YANG Mengdie，PENG Cheng，CUI Yiran，XU Shaorong，WANG Yan

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Deep learning framework for fruit counting and yield mapping in tart cherry using YOLOv8 and YOLO11 by Anderson L.S. Safre, Alfonso Torres-Rua, Brent L. Black, Sierra Young

“…Fruit counting was performed using a combination of YOLO models and the BoT-SORT tracking algorithm. The resulting number of fruits was compared to the actual weights of harvested fruit from individual trees. …”
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Comprehensive Evaluation of Bankruptcy Prediction in Taiwanese Firms Using Multiple Machine Learning Models by Hung V. Pham, Tuan Chu, Tuan M. Le, Hieu M. Tran, Huong T.K. Tran, Khanh N. Yen, Son V. T. Dao

“…The core contribution of this research is the establishment of a hybrid model that effectively combines multiple machine learning (ML) algorithms with advanced data with the Synthetic minority oversampling technique Tomek (SMOTE Tomek) or SMOTE- Edited Nearest Neighbor (SMOTE-ENN) resampling data technique to improve bankruptcy prediction accuracy. …”
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Daily runoff forecasting using novel optimized machine learning methods by Peiman Parisouj, Changhyun Jun, Sayed M. Bateni, Essam Heggy, Shahab S. Band

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Earth–lunar thermal effect on the temperature stability of TianQin telescope and the suppression methods by Wenbo Chang, Yuxiang Wang, Wenhai Tan, Guanhua Wu, Houyuan Chen, Wei Li, Zizheng Li, Fan Zhu, Zhu Li, Xuefeng Zhang, Shanqing Yang

“…TianQin is a geocentric space-based gravitational wave detection mission, it will confront a more complex and variable orbital thermal environment compared to heliocentric orbit missions like LISA. …”
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Detection of Subsurface Target Based on FDA-MIMO Radar by Qinghua Liu, Chang Jiang, Liangnian Jin, Shan Ouyang

“…As a new type of radar, the FDA-MIMO radar has a good improvement on side lobe suppression and target detection performance compared with the conventional MIMO radar. However, the existing researches on FDA-MIMO radar are almost based on far-field. …”
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Enhancing credit card fraud detection: the impact of oversampling rates and ensemble methods with diverse feature selection by Mohamed Akouhar, Abdallah Abarda, Mohamed El Fatini, Mohamed Ouhssini

“…Furthermore, the proposed ensemble approach, which combines the strengths of the diverse feature selection techniques and the XGB classifier, further enhances the detection accuracy and system performance compared to the traditional methods. The conclusions drawn from this research contribute to advancing the field of credit card fraud detection by providing insights into the impact of oversampling and the benefits of ensemble methods with diverse feature selection. …”
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Identification of distinct disease activity trajectories in patients with psoriatic arthritis receiving tofacitinib: a post hoc analysis of two phase 3 studies by Laura C Coates, Dafna Gladman, Mikhail Volkov, David Gruben, William Tillett, Stefanie Hahne

“…The tofacitinib 5 and 10 mg twice daily models showed comparable trajectories and baseline characteristics. …”
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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

“…Abstract There is a growing interest in utilizing 3D culture models for stem cell and cancer cell research due to their closer resemblance to in vivo environments. …”
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A case study on thermal conductivity characteristics and prediction of rock and soil mass at a proposed ground source heat pump (GSHP) site by Yongjie Ma, Jingyong Wang, Fuhang Hu, Echuan Yan, Yu Zhang, Hao Deng, Xuefeng Gao, Jianguo Kang, Haoxin Shi, Xin Zhang, Jianqiao Zheng, Jixiang Guo

“…Therefore, this study conducted field in-situ thermal response test (TRT) and laboratory sample test based on distributed optical fiber temperature sensor (DOFTS) in LY research area of Changchun, Northeast China. After comparing the differences and analyzing the reasons, an in-situ thermal conductivity prediction model was established based on artificial neural network (ANN) algorithm to predict in-situ thermal conductivity based on basic physical property parameters of laboratory tests. …”
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A Full-Life-Cycle Modeling Framework for Cropland Abandonment Detection Based on Dense Time Series of Landsat-Derived Vegetation and Soil Fractions by Qiangqiang Sun, Zhijun You, Ping Zhang, Hao Wu, Zhonghai Yu, Lu Wang

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Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia by Mahwish Ilyas, Muhammad Bilal, Nadia Malik, Hikmat Ullah Khan, Muhammad Ramzan, Anam Naz

“…To accomplish this task, we use digital image processing techniques and then apply the convolutional neural network (CNN) deep learning algorithm to blood sample images. This research employs a multi-stage methodology, including data preparation, data preprocessing, feature extraction, and then classification. …”
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