Drunk Driver Detection Using Thermal Facial Images by Chin-Heng Chai, Siti Fatimah Abdul Razak, Sumendra Yogarayan, Ramesh Shanmugam

“…This study aims to investigate and propose a machine learning approach that can accurately detect alcohol consumption by analyzing the thermal patterns of facial features. …”
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Virtual Nurse for Detecting Suicide Risk Behaviors in Adolescents by Yohanes Tarigan

“…The Virtual Nurse uses machine learning algorithms to analyze user behavior, speech patterns, and interactions to identify signs of suicide risk. …”
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Music Similarity Detection Through Comparative Imagery Data by Asli Saner, Min Chen

“…We tested the trained model with legally verified data as well as AI-generated music, confirming that the models produced with our approach can detect similarity patterns which are typically associated with music plagiarism. …”
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Advances on the formation and detection of hollow heart in vegetable crops by Jiaxi Li, Jincui Jia, Zhiwei Qin, Xingwang Liu, Ming Xin

“…In this review, the influence of environmental conditions, cultivation patterns, and hormones on the formation of hollow hearts were first analyzed. …”
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Detection of Abrupt Changes in Runoff in the Weihe River Basin by Yanling Li, Jianxia Chang, Zhiliang Wang, Huiling Li

“…Climate change and human activities are two major driving factors for variations in hydrological patterns globally, and it is of significant importance to distinguish their effects on the change of hydrological regime in order to formulate robust water management strategies. …”
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Wearable Online Freezing of Gait Detection and Cueing System by Jan Slemenšek, Jelka Geršak, Božidar Bratina, Vesna Marija van Midden, Zvezdan Pirtošek, Riko Šafarič

“…By continuously monitoring gait patterns, the system provides timely interventions, improving mobility and reducing the impact of freezing episodes. …”
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Effective Detection of Cloud Masks in Remote Sensing Images by Yichen Cui, Hong Shen, Chan-Tong Lam

“…Existing deep learning methods are unable to extract the edges of clouds and backgrounds in a refined manner when detecting cloud masks (shadows) due to their unpredictable patterns, and they are also unable to accurately identify small targets such as thin and broken clouds. …”
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Saliency Detection Using Sparse and Nonlinear Feature Representation by Shahzad Anwar, Qingjie Zhao, Muhammad Farhan Manzoor, Saqib Ishaq Khan

“…The proposed dual representation scheme is then evaluated against human eye fixation prediction, response to psychological patterns, and salient object detection on well-known datasets. …”
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Neural models for detection and classification of brain states and transitions by Arnau Marin-Llobet, Arnau Manasanch, Leonardo Dalla Porta, Melody Torao-Angosto, Maria V. Sanchez-Vives

“…These models allow detailed examination of unique spatiotemporal neural activity patterns that reveal brain function. However, assessing transitions between brain states remains computationally challenging. …”
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An Investigation into the Utilisation of CNN with LSTM for Video Deepfake Detection by Sarah Tipper, Hany F. Atlam, Harjinder Singh Lallie

“…The integration of Convolutional Neural Network (CNN) with Long Short-Term Memory (LSTM) has proven to be a promising approach for improving video deepfake detection, achieving near-perfect accuracy. CNNs enable the effective extraction of spatial features from video frames, such as facial textures and lighting, while LSTM analyses temporal patterns, detecting inconsistencies over time. …”
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Detection of FSH receptors in mouse and human penile tissue by Helen Zirnask, Pasi Pöllänen, Siim Suutre, Taavi Torga, Samuel Rüsse, Liis Salumäe, Andres Kotsar, Kersti Kokk

“…While human tissues exhibited widespread receptor expression, mouse tissues showed minimal immunoreactivity, suggesting species-specific expression patterns. These preliminary findings indicate a possible regulatory role for FSH in human penile physiology, meriting further exploration in subsequent studies.…”
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Singular-Value-Based Cluster Number Detection Method by Yating Li, Jianghui Cai, Haifeng Yang, Jie Wang, Chenhui Shi, Bo Liang, Xujun Zhao, Yaling Xun

“…According to singular value decomposition (SVD), the characteristic directions of larger singular values likely represent the primary data patterns, trends, or structures corresponding to the main information. …”
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Coastal Eddy Detection in the Balearic Sea: SWOT Capabilities by Laura Fortunato, Laura Gómez-Navarro, Vincent Combes, Yuri Cotroneo, Giuseppe Aulicino, Ananda Pascual

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Application of deep learning in malware detection: a review by Yafei Song, Dandan Zhang, Jian Wang, Yanan Wang, Yang Wang, Peng Ding

“…Its broad approach will help the early malware to detect and identify the behavioral patterns of large amounts of malicious data, and the discipline of artificial intelligence offers broad research potential. …”
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MACHINE LEARNING TECHNIQUES FOR RETINOPATHY DETECTION IN DIABETIC PATIENTS by Ajay Kushwaha, Ahankari Sachin Suresh, Chennoju Phanindra, Anil Kumar Sahu, Devanand Bhonsle, Yamini Chouhan

“…In this paper, we explore the development and application of an automated image analysis technique for detecting retinopathies in diabetic patients. The core technology involves deep learning algorithms, particularly Convolutional Neural Networks (CNNs), which are designed to identify complex patterns and features within retinal images. …”
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Shearography-Based Near-Surface Defect Detection in Composite Materials: A Spatiotemporal Object Detection Neural Network Trained Only with Simulated Data by Guanlin Li, Yao Hu, Hao Wang, Qun Hao, Yu Zhang

“…The network simultaneously learns both the spatial distribution features and temporal variation patterns of simulated phase map sequences, achieving high-accuracy detection of defects. …”
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Automatic detection for a comprehensive view of Mayotte seismicity by Retailleau, Lise, Saurel, Jean-Marie, Laporte, Marine, Lavayssière, Aude, Ferrazzini, Valérie, Zhu, Weiqiang, Beroza, Gregory C., Satriano, Claudio, Komorowski, Jean-Christophe, OVPF Team

“…Moreover, while the VT earthquakes of the proximal cluster occur continuously with no apparent pattern, LP events occur in swarms that last for tens of minutes. …”
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Fire Detection with Deep Learning: A Comprehensive Review by Rodrigo N. Vasconcelos, Washington J. S. Franca Rocha, Diego P. Costa, Soltan G. Duverger, Mariana M. M. de Santana, Elaine C. B. Cambui, Jefferson Ferreira-Ferreira, Mariana Oliveira, Leonardo da Silva Barbosa, Carlos Leandro Cordeiro

“…This study employed a comprehensive approach, combining bibliometric analysis, qualitative and quantitative methods, and systematic review techniques to examine the advancements in fire detection using deep learning in remote sensing. It unveils key trends in publication patterns, author collaborations, and thematic focuses, emphasizing the remarkable growth in fire detection using deep learning in remote sensing (FDDL) research, especially from the 2010s onward, fueled by advancements in computational power and remote sensing technologies. …”
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Development of a Solar-Powered Edge Processing Perimeter Alert System with AI and LoRa/LoRaWAN Integration for Drone Detection and Enhanced Security by Mateo Mejia-Herrera, Juan Botero-Valencia, José Ortega, Ruber Hernández-García

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Two distinct dynamic modes subtend the detection of unexpected sounds. by Jean-Rémi King, Alexandre Gramfort, Aaron Schurger, Lionel Naccache, Stanislas Dehaene

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