River Surface Space–Time Image Velocimetry Based on Dual-Channel Residual Network by Ling Gao, Zhen Zhang, Lin Chen, Huabao Li

“…However, environmental interference often blurs weak tracer textures in STIs, limiting the accuracy of traditional MOT detection algorithms based on shallow features like images’ gray gradient. …”
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Advances in sensor technologies for breast cancer detection: a comprehensive review of imaging and non-imaging approaches by Emmy Bhatti, Prabhpreet Kaur

“…This paper reviews state-of-the-art sensors currently used in breast cancer detection systems, including imaging and non-imaging technologies such as optical, thermal, electromagnetic, ultrasound, and biosensors. …”
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The Diagnosis and Management of Patients With Findings Consistent With a Breast Implant Associated–Somatic Symptom Disorder (BIA-SSD) by Stephen D. Bresnick, MD, Kate Faasse, PhD, Patricia McGuire, MD

“…Methods:. Findings from the current literature combined with both surgical and psychological therapeutic principles were used to develop methods for diagnosing and managing patients with BIA-SSD. …”
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Handwriting Difficulties: A Review of Recent Advances in the Identification and Intervention by Suatmi Murnani, Kazuharu Hashitsume, Tomohiko Igasaki

“…Rather than proposing a new method or computational framework, it highlights trends, challenges, and opportunities in current research. We systematically reviewed 107 primary studies published between 2019 and 2024, sourced from IEEE Xplore and SpringerLink. …”
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Effective Parallel Processing Social Media Analytics Framework by Ravindra Kumar Singh, Harsh Kumar Verma

“…The widespread adoption of opinion mining and sentiment analysis in higher cognitive processes encourages the need for real-time processing of social media data to capture insights about user's sentiment polarity, user’s opinion, and current trends of the domain. In recent years lots of research were conducted and various machine learning algorithms were developed around the processing of data to achieve higher accuracy while reducing the processing time is still challenging. …”
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Infections Caused by Carbapenem-Resistant Enterobacterales: Epidemiology, Clinical Significance, and Possibilities for Antibiotic Therapy Optimization by S. V. Yakovlev, M. P. Suvorova, A. O. Bykov

“…Practical issues of management of such patients are discussed. Algorithms for empirical and targeted therapy of infections caused by carbapenem-resistant enterobacteria are presented.…”
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Accounting Development in the System of Transition to the New Standards of Financial Security of a Commercial Bank by A. V. Lukyanov

“…The author has proved the need to implement forecasting tools in the current system of accounting of the financial security of the Bank. …”
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Color correction methods for underwater image enhancement: A systematic literature review. by Yong Lin Lai, Tan Fong Ang, Uzair Aslam Bhatti, Chin Soon Ku, Qi Han, Lip Yee Por

“…This review consolidates the current knowledge, providing a taxonomy of methods while identifying critical research gaps. …”
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Biased perceptions of public opinion don't define echo chambers but reveal systematic differences in political awareness. by Crispin H V Cooper, Kevin Fahey, Regan Jones

“…Echo chambers are widely acknowledged as a feature of online discourse and current politics: a phenomenon arising when people selectively engage with like-minded others and are shielded from opposing ideas. …”
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Deep Learning-Based Cloud Detection for Optical Remote Sensing Images: A Survey by Zhengxin Wang, Longlong Zhao, Jintao Meng, Yu Han, Xiaoli Li, Ruixia Jiang, Jinsong Chen, Hongzhong Li

“…Finally, this paper analyzes the current challenges faced by existing deep learning-based cloud detection algorithms and the future development direction of the field.…”
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Application and prospects of machine learning for rockfalls, landslides and debris flows by Jiazhu WANG, Yongbo TIE, Yongjian BAI, Yanchao GAO, Donghui WANG, Mingzhi ZHANG

“…The current issues and future development directions are also discussed. …”
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A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…Specific emphasis is placed on identifying how these algorithms enhance system performance and optimization. …”
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Use of Aposteriori Information in the Implementation of Radar Recognition Systems Using Neural Network Technologies by Dmitrii F. Beskostyi, Sergei G. Borovikov, Yurii V. Yastrebov, Ilya A. Sozontov

“…Introduction. The current need to obtain relevant, complete and reliable information about airborne objects has led to the continuous improvement of modern radar recognition systems (MRRS) as part of control systems. …”
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The application of machine learning in clinical microbiology and infectious diseases by Cheng Xu, Ling-Yun Zhao, Cun-Si Ye, Ke-Chen Xu, Ke-Chen Xu, Ke-Yang Xu

“…Machine learning in the field of microbiology mainly adopts supervised learning and unsupervised learning, involving algorithms from classification and regression to clustering and dimensionality reduction. …”
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Social Media Suicide Watch by Katherine Prothro

“…AI can be used to retrospectively analyze posts from individuals who died by suicide to identify patterns imperceptible to the human eye. These algorithms could then be applied to current users to more accurately identify at-risks populations. …”
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The urban heat Island effect: A review on predictive approaches using artificial intelligence models by Ali Najah Ahmed, Nouar AlDahoul, Nurhanani A. Aziz, Y.F. Huang, Mohsen Sherif, Ahmed El-Shafie

“…While conventional ML algorithms remain widely used, DL and hybrid models have shown superior performance in predictive accuracy. …”
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Genomic and Precision Medicine Approaches in Atherosclerotic Cardiovascular Disease: From Risk Prediction to Therapy—A Review by Andreas Mitsis, Elina Khattab, Michaella Kyriakou, Stefanos Sokratous, Stefanos G. Sakellaropoulos, Stergios Tzikas, Nikolaos P. E. Kadogou, George Kassimis

“…Notable findings include the identification of causal genetic variants such as <i>PCSK9</i> and <i>LDLR</i>, the development of polygenic risk scores for early prediction, and the use of deep learning algorithms for integrative multi-omics analysis. In addition, we highlight current and future therapeutic applications including PCSK9 inhibitors, RNA-based therapies, and CRISPR-based genome editing. …”
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X-ray modalities in the era of artificial intelligence: overview of self-supervised learning approach by Ivan Martinović, Shitong Mao, Mehdy Dousty, Wuqi Li, Milena Đukanović, Errol Colak, Ervin Sejdić

“…Self-supervised learning enables the creation of algorithms that outperform supervised pre-training methods in numerous computer vision tasks. …”
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Computationally Efficient Artifact Suppression for Optical Coherence Tomography Angiography by Wenxin Zhang, Jun Pan, Shiqi Tang, Ning Liu

“…These superficial vessel tails cast shadows on deeper vascular layers, significantly degrading image quality. Current artifact suppression methods often require complex algorithms and extensive computation, limiting their practicality. …”
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Least to Most Range (LMR): A Novel Consistent Weighting Multicriteria Method Applied to Green Supplier Selection by Vinicius Moretti, Everton L. Melo, Joao Carlos Colmenero

“…Multicriteria decision-making models (MCDM) aim to reduce the complexity of decision-making by using mathematical and algorithmic procedures to guide the process. Given the various issues and complexities that current methods for weighting criteria present; this study aims to develop a new subjective multicriteria method for criteria weighting applied in Green Supplier Selection (GSS). …”
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