Anomaly-Focused Augmentation Method for Industrial Visual Inspection by Melvin A. MELVINLARA, Ibrahim A. Hameed, Jiri Koziorek

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Multi-label classification with deep learning techniques applied to the B-Scan images of GPR by El Karakhi, Soukayna, Reineix, Alain, Guiffaut, Christophe

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A new statistical metric for robust target detection in cryo-EM using 2D template matching by Kexin Zhang, Pilar Cossio, Aaditya V. Rangan, Bronwyn A. Lucas, Nikolaus Grigorieff

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Fake News Detection Revisited: An Extensive Review of Theoretical Frameworks, Dataset Assessments, Model Constraints, and Forward-Looking Research Agendas by Sheetal Harris, Hassan Jalil Hadi, Naveed Ahmad, Mohammed Ali Alshara

Subjects: “…fake news detection…”
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Unverified Rumor Detection by Chang Shu, Xiaochu Tang, Jing Xiao, Yuanxu Chen

“…Currently, early rumor detection has garnered significant attention due to the rapid dissemination of information on social media. …”
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Mental Health Safety and Depression Detection in Social Media Text Data: A Classification Approach Based on a Deep Learning Model by Shiwen Zhou, Masnizah Mohd

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A New Computational Method for Detecting Leak Flow and Tidal Volume Waveforms During Spontaneous or Mandatory Breathing Assisted with Nasopharyngeal Ventilation by Francesco Montecchia, Paola Papoff

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GRADIENT-BASED VEHICLE DETECTION USING A TWO-SEGMENT DETECTION FIELD by Zbigniew CZAPLA

“…The location of binary values after conversion is in accordance with the edges of the converted image. For all processed images, a detection field is defined, which is composed of two segments. …”
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Meticulous Thought Defender: Fine-Grained Chain-of-Thought (CoT) for Detecting Prompt Injection Attacks of Large Language Models by Lijuan Shi, Yajing Kang, Jie Hu, Xinchi Li, Mingchuan Yang

Subjects: “…Prompt injection detection…”
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Reconfigurable and Scalable Artificial Intelligence Acceleration Hardware Architecture With RISC-V CNN Coprocessor for Real-Time Seizure Detection by Shuenn-Yuh Lee, Ming-Yueh Ku, Sing-Yu Pan, Chou-Ching Lin

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Detection of Shape Manufacturing Defects of Flat Fan-Pattern Nozzle Orifices Using Elliptic Fourier Descriptors by Bahadır Sayıncı

“…and shapes shape factor, elongation and roundness of the nozzle orifices were obtained using an image processing method. The next process, to evaluate the nozzles’ orifice shape using elliptic Fourier analysis EFA , the progresses of generating the orifice’s contour data, derivation of EFDs, principal component analysis PCA of EFDs and visualization of shape variations estimated by the principal component scores PCs were followed respectively. …”
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How did an election fraud narrative spread online? Testing theories us-ing machine learning and natural language processing by Loni Hagen, Diego Ford, Jahnae Edwards, Ly Dinh, Nic DePaula, Joshua Scacco

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An Attention-Enhanced 3D-CNN Framework for Spectrogram-Based EEG Analysis in Epilepsy Detection by Ziaullah Khan, Aakanksha Dayal, Hee-Cheol Kim

Subjects: “…EEG signal processing…”
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Novel Quantification Method for Lithium Ion Battery Electrolyte Solvents in Aqueous Recycling Samples Using Solid‐Phase Extraction/Gas Chromatography‐Flame Ionization Detection by Julius Buchmann, Yixin Song, Simon Wiemers‐Meyer, Martin Winter, Sascha Nowak

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Experimental studies on vibrowave processes in utilization technology of combine harvester parts (case study: guide pulleys) by Anatoly P. Babichev, Vladimir N. Vesnin, Alina A Akulova, Alexander N. Mikhaylov

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A novel approach for the detection of brain tumor and its classification via end-to-end vision transformer - CNN architecture by K. Chandraprabha, L. Ganesan, K. Baskaran

Subjects: “…MRI processing…”
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Enhancing uterine contraction detection through novel EHG signal processing: a pilot study leveraging the relationship between slow and fast wave components to improve signal quality and noise resilience by Hansong Gao, Hansong Gao, Zichao Wen, Meng Jiang, Yuan Nan, Yuan Nan, Yong Wang, Yong Wang, Yong Wang, Yong Wang

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Efficient and Accurate Zero-Day Electricity Theft Detection from Smart Meter Sensor Data Using Prototype and Ensemble Learning by Alyaman H. Massarani, Mahmoud M. Badr, Mohamed Baza, Hani Alshahrani, Ali Alshehri

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Deep Learning-Based Detection of Honey Storage Areas in <i>Apis mellifera</i> Colonies for Predicting Physical Parameters of Honey via Linear Regression by Watit Khokthong, Panpakorn Kritangkoon, Chainarong Sinpoo, Phuwasit Takioawong, Patcharin Phokasem, Terd Disayathanoowat

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Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…The automated detection and classification of immature macauba (<i>Acrocomia aculeata</i>) fruits is critical for improving post-harvest processing and quality control. …”
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