People counting using IR-UWB radar sensors and machine learning techniques by Ange Joel Nounga Njanda, Jocelyn Edinio Zacko Gbadoubissa, Emanuel Radoi, Ado Adamou Abba Ari, Roua Youssef, Aminou Halidou

“…However, the data quality, difficulty distinguishing human signals from noise and clutter, and instances where human presence is not detected make it challenging to count multiple humans. …”
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A Semi-Supervised Object Detector Based on Adaptive Weighted Active Learning and Orthogonal Data Augmentation by Meng Wang, Xiao Xu, Haipeng Liu

“…To efficiently utilize limited resources, this paper proposes a semi-supervised object detection (SSOD) approach based on novel adaptive weighted active learning (AWAL) and orthogonal data augmentation (ODA). …”
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Reasoning about physical processes in buildings through component stereotypes by Ganesh Ramanathan, Simon Mayer

“…However, these focus on describing system topology, whereas several relevant use cases (e.g., automated fault detection and diagnostics (AFDD)) also need knowledge about the physical processes. …”
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A Multi-Goal Particle Swarm Optimizer for Test Case Prioritization by Muhammad Nazir, Arif Mehmood, Waqar Aslam, Yongwan Park, Gyu Sang Choi, Imran Ashraf

“…Moreover, MOPSO is better in terms of execution time, fault detection fee, and early detection capabilities.…”
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Observational Limitations to the Emergence of Climate Signals by Louis Rivoire, Marianna Linz, Jingyuan Li

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Detection of advanced colorectal neoplasia and relative colonoscopy workloads using quantitative faecal immunochemical tests: an observational study exploring the effects of simult... by Graeme P Young, Richard J Woodman, Erin Symonds

“…The 2-sample FIT approach is best for detecting advanced adenomas as well as CRC provided that the colonoscopy workload is feasible.…”
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When Two are Better Than One: Synthesizing Heavily Unbalanced Data by Francisco Ferreira, Nuno Lourenco, Bruno Cabral, Joao Paulo Fernandes

“…One of the main challenges of fraud detection is concerned with the scarcity of fraudulent instances which results in highly unbalanced datasets. …”
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Recognition of Cordyceps Based on Machine Vision and Deep Learning by Zihao Xia, Aimin Sun, Hangdong Hou, Qingfeng Song, Hongli Yang, Liyong Ma, Fang Dong

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Multilingual Investigation of Cross-Project Code Clones in Open-Source Software for Internet of Things Systems by Wenqing Zhu, Norihiro Yoshida, Yutaka Matsubara, Hiroaki Takada

“…We used MSCCD, a multilingual code clone detector to detect Type-3 code clones for each group. The results show that cross-project clones exist in more than 30% of the projects, particularly in communication-related functionalities. …”
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Correcting for measurement errors in a long‐term aerial survey with auxiliary photographic data by Jamie L. Brusa, Matthew T. Farr, Joseph Evenson, Emily Silverman, Bryan Murphie, Thomas A. Cyra, Heather J. Tschaekofske, Kyle A. Spragens, Sarah J. Converse

“…We built a novel model in a Bayesian framework that simultaneously harnessed human observer and photographic data types to produce estimates necessary to correct for the effects of partial availability, imperfect detection, and species misidentification. Across all 31 species identified in photographs, both observers had instances of undercounting and overcounting birds but tended to undercount (observers undercounted totals across all species on 69.3%–78.9% of transects). …”
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PLY-SLAM: Semantic Visual SLAM Integrating Point–Line Features with YOLOv8-seg in Dynamic Scenes by Huan Mao, Jingwen Luo

“…Finally, a loop-closure detection mechanism that fuses point–line features with instance-level matching is designed to calculate a normalized similarity score by combining the positional similarity of the instances, the scale similarity, and the spatial consistency of the static instances. …”
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Aerial video & trajectory dataset of vehicles on circular roadYouTubeGitHubZenodo by Kevin Riehl, Shaimaa K. El-Baklish, Anastasios Kouvelas, Michail A. Makridis

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Precise Feature Removal Method Based on Semantic and Geometric Dual Masks in Dynamic SLAM by Zhanrong Li, Chao Jiang, Yu Sun, Haosheng Su, Longning He

“…To address the issue of unstable feature points within dynamic regions, this study proposes a robust dual-mask filtering strategy that synergistically integrates semantic segmentation information with geometric outlier detection techniques. The proposed method first identifies outlier feature points through rigorous geometric consistency checks, then employs morphological dilation to expand the initially detected dynamic regions. …”
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A Systematic Review of Reimagining Fashion and Textiles Sustainability with AI: A Circular Economy Approach by Hiqmat Nisa, Rebecca Van Amber, Julia English, Saniyat Islam, Georgia McCorkill, Azadeh Alavi

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Dynamic Ensemble Selection for EEG Signal Classification in Distributed Data Environments by Małgorzata Przybyła-Kasperek, Jakub Sacewicz

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Advanced Segmentation of Gastrointestinal (GI) Cancer Disease Using a Novel U-MaskNet Model by Aditya Pal, Hari Mohan Rai, Mohamed Ben Haj Frej, Abdul Razaque

“…Here, U-Net is utilized for pixel-wise classification and Mask R-CNN for instance segmentation, together forming a solution for classifying and segmenting GI cancer. …”
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Integrating UAS-Based GNSS-R, LiDAR, and Multispectral Data for Soil Moisture Estimation: Summary of Results From a Three-Year-Long Field Campaign by Md Mehedi Farhad, Volkan Senyurek, Mohammad Abdus Shahid Rafi, Sriman Bidhan Baray, Cary McCraine, Lee A. Hathcock, Ardeshir Adeli, Huang Yanbo, Ali C. Gurbuz, Mehmet Kurum

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Application of a Fiber Optic-Based SHM System to a Composite Aircraft Wing and Its Technological Maturity Evaluation by Gianvito Apuleo, Monica Ciminello, Lorenzo Pellone, Umberto Mercurio, Antonio Concilio

“…Specifically, an original SHM architecture is herein presented, based on the use of distributed optical fibers, and implementing a proprietary algorithm, to detect bonding lines damage. Ground testing with a full-scale wing box successfully validated the system’s capability to identify damage. …”
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High-Performance Anion Exchange Chromatography Electrochemical Determination of Uric Acid as a Contamination Marker by Kevin C. Honeychurch

“…This study presents the first instance of determining environmental uric acid in urban dust using high-performance anion exchange chromatography coupled with electrochemical detection. …”
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Enhanced YOLOv12 Through Sliced Contrastive Supervision and Full Scene Fine-Tuning by Javier E. Garza, Muhammad F. Islam

“…Real-time detection of objects in drone-based imagery has proven to be a challenging task for even the most state-of-the-art deep learning models. …”
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