GaussianMix: Rethinking Receptive Field for Efficient Data Augmentation by A. F. M. Shahab Uddin, Maryam Qamar, Jueun Mun, Yuje Lee, Sung-Ho Bae

“…Selecting source patches based on image saliency helps to prevent label errors and irrelevant content; however, it relies on computationally expensive saliency detection algorithms. Studies suggest that a convolutional neural network’s receptive field follows a Gaussian distribution, with central pixels being more influential. …”
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Embedded Machine Learning-Based Voltage Fingerprinting for Automotive Cybersecurity by Pierpaolo Dini, Michele Zappavigna, Ettore Soldaini, Sergio Saponara

“…The proposed system integrates advanced machine learning algorithms, including SVM, ANN, and DT, optimized for anomaly detection, with linear SVM achieving the highest accuracy. …”
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Discovering Human Presence Activities with Smartphones Using Nonintrusive Wi-Fi Sniffer Sensors: The Big Data Prospective by Weijun Qin, Jiadi Zhang, Bo Li, Limin Sun

“…By deploying in the real-world office environment, we found that the performance of Wi-Fi messages aggregation of CAOCA and CACFA algorithms is over 3.8 times higher than the worst channel of FCA algorithms and about 76% of the best channel of FCA algorithms, and the human presence detection rate reached 87.4%.…”
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Crowdsourcing geographic information for terrorism-related disaster awareness and mitigation: perspectives and challenges by Michaelmary Chukwu, Xiao Huang, Siqin Wang, Di Yang, Xinyue Ye

“…Simultaneously, we encourage advancements in existing ML algorithms to enhance the accurate real-time detection of planned and onset terrorism disasters.…”
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Securing the IoT System of Smart City against Cyber Threats Using Deep Learning by Tanzila Saba, Amjad Rehman Khan, Tariq Sadad, Seng-phil Hong

“…The threads concerned with IoT need to be reduced for efficient Intrusion Detection Systems (IDSs). As a result, machine learning algorithms generate correct outputs from a large and complicated dataset. …”
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Aircraft Position Estimation Using Deep Convolutional Neural Networks for Low SNR (Signal-to-Noise Ratio) Values by Przemyslaw Mazurek, Wojciech Chlewicki

“…Using the Monte Carlo method, four types of Max algorithms, i.e., Pixel Value, Min. Pixel Value, and Max. …”
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Active location and recovery of unbalance problems in smart distribution networks by LI Yihong, PAN Yicheng, MA Meng, WANG Ping

“…By integrating Granger causality tests with adaptive interval detection algorithms, the method achieves unbalanced root cause localization without requiring pre-training or physical topology dependencies. …”
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AI-Driven Framework for Evaluating Climate Misinformation and Data Quality on Social Media by Zeinab Shahbazi, Rezvan Jalali, Zahra Shahbazi

“…Data quality is defined using key dimensions of credibility, accuracy, relevance, and sentiment polarity, and a pipeline is developed using transformer-based NLP models, sentiment classifiers, and misinformation detection algorithms. The system processes user-generated content to detect sentiment drift, engagement patterns, and trustworthiness scores. …”
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High‐resolution mapping of cancer cell networks using co‐functional interactions by Evan A Boyle, Jonathan K Pritchard, William J Greenleaf

“…This work establishes new algorithms for probing cancer cell networks and motivates the acquisition of further CRISPR screen data across diverse genotypes and cell types to further resolve complex cellular processes.…”
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An Improved Kernelized Correlation Filter for Extracting Traffic Flow in Satellite Videos by Dudu Guo, Hongbo Shuai, Jie Zhang, Yang Wang, Miao Sun

“…Finally, the virtual detection line method was used to extract the traffic flow. …”
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Development of RF Hardware and Point Cloud Processing Method for Phased Array Millimeter Wave Radar by Zihang Yan, Hua Zhang, Bo Yan, Jingrong Sun

“…Finally, through actual testing and comparison with other clustering algorithms, the superiority of this method in clustering accuracy and processing time was verified. …”
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Enhancing burned area monitoring with VIIRS dataset: A case study in Sub-Saharan Africa by Boris Ouattara, Michael Thiel, Barbara Sponholz, Heiko Paeth, Marta Yebra, Florent Mouillot, Patrick Kacic, Kwame Hackman

“…The study investigates the algorithm's performance in sub-Saharan Africa as the region of interest in 2019, using biweekly outputs and a spatial resolution of 250 m. …”
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Model Predictive Control Method for Autonomous Vehicles Using Time-Varying and Non-Uniformly Spaced Horizon by Minsung Kim, Donggil Lee, Joonwoo Ahn, Minsoo Kim, Jaeheung Park

“…This paper proposes an algorithm for path-following and collision avoidance of an autonomous vehicle based on model predictive control (MPC) using time-varying and non-uniformly spaced horizon. …”
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A method based on clustering fast search for bearing performance degradation assessment by ShengWen Zhou, Li Zhang, Xiaoming Yang, Fan Xu, BaiGang Du, RuiPing Luo, Wenhui Zeng

“…Second, SV1 and SV2 are used as input to the CFS algorithm to identify the cluster centers automatically. …”
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Multipath Suppression and High-precision Angle Measurement Method Based on Feature Game Preprocessing by Houhong XIANG, Yongliang WANG, Yuxi LI, Yufeng CHEN, Fengyu WANG, Xiaolu ZENG

“…The meter-wave radar, known for its wide beamwidth, often faces challenges in detecting low-elevation targets due to interference from multipath signals. …”
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Constipation in Children: Assisting Paediatricians by I. N. Zakharova, N. G Sugyan, I. D. Maykova, I. V. Berezhnaya, I. М. Kolobashkina

“…Functional constipation is detected in children of all age groups — from infants through teenagers. …”
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PROLONGED AIR LEAK AFTER LOBECTOMY IN LUNG CANCER PATIENTS by E. A. Toneev, D. V. Bazarov, O. V. Pikin, A. L. Charyshkin, A. A. Martynov, R. I. Lisyutin, A. Sh. Zulkarnyaev, E. P. Anokhina

“…Based on our own experience and practice we have developed and implemented an algorithm of the management of patients with PAL. Conclusion. …”
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Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review by Rosanne L van den Berg, Sophie M van der Landen, Matthijs J Keijzer, Aniek M van Gils, Maureen van Dam, Kirsten A Ziesemer, Roos J Jutten, John E Harrison, Casper de Boer, Wiesje M van der Flier, Sietske AM Sikkes

“…In total, 2 reviewers independently screened titles and abstracts in ASReview, a screening tool that combines manual and automatic screening using an active learning algorithm. Thereafter, we manually screened full texts in the web application Rayyan. …”
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A large-scale estimation method for beach slopes using ICESat-2 altimeter: A case study of New Zealand by Nan Xu, Hao Xu, Wenyu Li, Hui Lu, Yongze Song, Jiaqi Yao, Yue Ma, He Ren, Tingting He, Fan Mo, Peng Gong

“…Second, we combined the adaptive threshold OPTICS (Ordering Points To Identify the Clustering Structure) algorithm and the moving window filter to accurately extract sandy beach photons. …”
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Deep learning-based carotid plaque vulnerability classification with multicentre contrast-enhanced ultrasound video: a comparative diagnostic study by Yanli Guo, Hongxia Zhang, Yang Guang, Wen He, Bin Ning, Chen Yin, Mingchang Zhao, Fang Nie, Pintong Huang, Rui-Fang Zhang, Qiang Yong, Jianjun Yuan, Yicheng Wang, Lijun Yuan, Litao Ruan, Tengfei Yu, Haiman Song, Yukang Zhang

“…Objectives The aim of this study was to evaluate the performance of deep learning-based detection and classification of carotid plaque (DL-DCCP) in carotid plaque contrast-enhanced ultrasound (CEUS).Methods and analysis A prospective multicentre study was conducted to assess vulnerability in patients with carotid plaque. …”
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