Semantic and Geometric Fusion for Object-Based 3D Change Detection in LiDAR Point Clouds by Abderrazzaq Kharroubi, Fabio Remondino, Zouhair Ballouch, Rafika Hajji, Roland Billen

“…Accurate three-dimensional change detection is essential for monitoring dynamic environments such as urban areas, infrastructure, and natural landscapes. …”
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AI-Based Classification of Pediatric Breath Sounds: Toward a Tool for Early Respiratory Screening by Lichuan Liu, Wei Li, Beth Moxley

“…Breath sound detection and segmentation were performed using digital signal processing techniques. …”
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Unlocking biomarker discovery: large scale application of aptamer proteomic technology for early detection of lung cancer. by Rachel M Ostroff, William L Bigbee, Wilbur Franklin, Larry Gold, Mike Mehan, York E Miller, Harvey I Pass, William N Rom, Jill M Siegfried, Alex Stewart, Jeffrey J Walker, Joel L Weissfeld, Stephen Williams, Dom Zichi, Edward N Brody

“…New diagnostics are needed to detect early stage lung cancer because it may be cured with surgery. …”
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Monitoring the dynamics of coastal wetlands ecosystems in Brittany (France) using LANDSAT time series and machine learning by Adrien Le Guillou, Simona Niculescu

“…These results highlight the diversity of coastal dynamics in Brittany.…”
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Magnitude and dynamics of the T-cell response to SARS-CoV-2 infection at both individual and population levels by Thomas M. Snyder, Rachel M. Gittelman, Mark Klinger, Damon H. May, Edward J. Osborne, Ruth Taniguchi, H. Jabran Zahid, Ian M. Kaplan, Jennifer N. Dines, Matthew T. Noakes, Ravi Pandya, Xiaoyu Chen, Summer Elasady, Emily Svejnoha, Peter Ebert, Mitchell W. Pesesky, Patricia De Almeida, Hope O’Donnell, Quinn DeGottardi, Gladys Keitany, Jennifer Lu, Allen Vong, Rebecca Elyanow, Paul Fields, Hussein Al-Asadi, Julia Greissl, Lance Baldo, Simona Semprini, Claudio Cerchione, Fabio Nicolini, Massimiliano Mazza, Ottavia M. Delmonte, Kerry Dobbs, Rocio Laguna-Goya, Gonzalo Carreño-Tarragona, Santiago Barrio, Luisa Imberti, Alessandra Sottini, Eugenia Quiros-Roldan, Camillo Rossi, Andrea Biondi, Laura Rachele Bettini, Mariella D’Angio, Paolo Bonfanti, Miranda F. Tompkins, Camille Alba, Clifton Dalgard, Vittorio Sambri, Giovanni Martinelli, Jason D. Goldman, Jason D. Goldman, James R. Heath, Helen C. Su, Luigi D. Notarangelo, Estela Paz-Artal, Joaquin Martinez-Lopez, Bryan Howie, Jonathan M. Carlson, Harlan S. Robins

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Study on the influence of blasting on the structural stability of newly-built and adjacent tunnels by Zi-qiang Li, Jia-shuai Zhang, Gui-quan Ma, Ze-lin Zhou, Sheng-peng Pu, Ceng Zeng

“…Overbreak and underbreak distribution data were acquired through self-developed blasthole detection devices and laser profile scanners. Using numerical models constructed with LS-DYNA and ANSYS, this study systematically analyzed the dynamic response characteristics of the blasting process of the newly-built tunnel and its effect on the structural stability of adjacent tunnels. …”
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Deep Learning Algorithm for Keratoconus Detection from Tomographic Maps and Corneal Biomechanics: A Diagnostic Study by Wiyada Quanchareonsap, Ngamjit Kasetsuwan, Usanee Reinprayoon, Yonrawee Piyacomn, Thitima Wungcharoen, Monthira Jermjutitham

“…AI model 2, which added dynamic corneal response and the Vinciguerra screening report from Corvis ST to AI Model 1, achieved an AUC of 0.985 and accuracy of 0.956 (sensitivity, 93.0% and specificity, 94.3%). …”
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Enhanced detection of Mpox using federated learning with hybrid ResNet-ViT and adaptive attention mechanisms by V. Maheskumar, R. Vijayarajeswari

“…Results demonstrate a detection accuracy of 98.78%, significantly outperforming traditional and existing methods in terms of precision, recall, and robustness. …”
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Real-Time Detection, Evaluation, and Mapping of Crowd Panic Emergencies Based on Geo-Biometrical Data and Machine Learning by Ilias Lazarou, Anastasios L. Kesidis, Andreas Tsatsaris

“…To further enhance emergency detection and response, we introduce the concept of CLOT (Classifier Confidence Level Over Time) as a parameter that influences the system’s noise filtering and detection speed. …”
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Multi-decadal change detection of coastal dune landscapes using different supervised image classification algorithms by Ryan Theodore BENADE, Aune KAMOSHO, Lutobohile Ivonne MAKANDO, Oluibukun Gbenga AJAYI

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Automated Defect Detection through Flaw Grading in Non-Destructive Testing Digital X-ray Radiography by Bata Hena, Gabriel Ramos, Clemente Ibarra-Castanedo, Xavier Maldague

“…Machine learning has taken the center stage in recent years as a tool for developing automated solutions for detecting and classifying flaws in digital X-ray radiography. …”
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Time Frequency Analysis Based Fault Detection in PV Array Using Scaling Basis Chirplet Transform by S Ramana Kumar Joga, Chidurala SaiPrakash, Srikanth Velpula, Alivarani Mohapatra, Theophilus A. T. Kambo Jr.

“…The SBCT with combination of various machine learning algorithms is proposed to detect faults in PV array. SBCT in combination with Support Vector Machine, Decision Tree, Random Forest, and ANN classifiers are able to detect faults in PV array with 99%, 98.5%, 99.2%, and 99.5% accuracies in no shading condition and 88%, 85%, 89%, and 89.5% accuracies in severe shading condition. …”
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False data injection attack dataset for classification, identification, and detection for IIoT in Industry 5.0Zenodo by A K M Ahasan Habib, Mohammad Kamrul Hasan, Rosilah Hassan, Shayla Islam, Huda Saleh Abbas

“…The approach we employ makes it easier to create and assess effective machine learning (ML) and deep learning (DL) algorithms for efficient FDI attack detections. Additionally, we demonstrate a multifaceted approach to using the UKMNCT_IIoT_FDIA dataset, which includes detection algorithms to quickly address active FDI attacks, detection processes to identify malicious things, and classification approaches to classify attack categories. …”
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A Gaussian Mixture Model-Based Unsupervised Dendritic Artificial Visual System for Motion Direction Detection by Zhiyu Qiu, Yuxiao Hua, Tianqi Chen, Yuki Todo, Zheng Tang, Delai Qiu, Chunping Chu

“…Motion perception is a fundamental function of biological visual systems, enabling organisms to navigate dynamic environments, detect threats, and track moving objects. …”
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Detecting ecosystem water use efficiency responses to drought from long-term remote sensing data by Xingjiao Yu, Qi Yin, Tiantian Zhao, Kainan Chen, Long Qian, Wen’e Wang, Xiaotao Hu, Baozhong Zhang

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A Seed Vigor Test Through a Biospeckle Laser: A Comparison of Local and Global Analyses by Bruno Vicentini, Roberto Alves Braga, José Luís Contado, José Eduardo da Silva Gomes, Rolando de Jesus Gonzalez-Peña

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ImagTIDS: an internet of things intrusion detection framework utilizing GADF imaging encoding and improved Transformer by Peng Wang, Yafei Song, Xiaodan Wang, Xiangke Guo, Qian Xiang

“…Furthermore, due to the serious class imbalance problem in IoT intrusion detection, we utilize Focal Loss to dynamically scale the model gradient and adaptively reduce the weights of simple samples to focus on hard-to-classify classes. …”
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People Detection Based on Spatial Mapping of Friendliness and Floor Boundary Points for a Mobile Navigation Robot by Tsuyoshi Tasaki, Fumio Ozaki, Nobuto Matsuhira, Tetsuya Ogata, Hiroshi G. Okuno

“…We classify obstacles as moving people by comparing movement of each point with robot movement using odometry data, dynamically changing thresholds to detect. …”
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Few-Shot Object Detection for Remote Sensing Images via Pseudo-Sample Generation and Feature Enhancement by Zhaoguo Huang, Danyang Chen, Cheng Zhong

“…Few-shot object detection (FSOD) based on fine-tuning is essential for analyzing optical remote sensing images. …”
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Connectogram-COH: A Coherence-Based Time-Graph Representation for EEG-Based Alzheimer’s Disease Detection by Ehssan Aljanabi, İlker Türker

“…<b>Results</b>: The experimental results demonstrate that the proposed Connectogram-COH representation effectively captures the coherence dynamics of multichannel EEG data and achieves high accuracy in detecting Alzheimer’s disease. …”
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