A Direct Matrix Inversion-Less Analysis for Distribution System Power Flow Considering Distributed Generation by A. Mahmoudi, S. H HOSSEINIAN, H. Zarabadipour

“…The modeling of distributed generations in distribution systems is also studied which is an interesting topic nowadays. …”
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Contact-Free Cognitive Load Recognition Based on Eye Movement by Xin Liu, Tong Chen, Guoqiang Xie, Guangyuan Liu

“…The cognitive overload not only affects the physical and mental diseases, but also affects the work efficiency and safety. Hence, the research of measuring cognitive load has been an important part of cognitive load theory. …”
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GaussianMix: Rethinking Receptive Field for Efficient Data Augmentation by A. F. M. Shahab Uddin, Maryam Qamar, Jueun Mun, Yuje Lee, Sung-Ho Bae

“…GaussianMix achieves top-1 error rates of 21.26% and 20.09% on ResNet-50 and ResNet-101 for ImageNet classification, respectively, while also improving robustness against adversarial perturbations and enhancing object detection performance.…”
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Facial Recognition Databases: Recent Developments and Review of Methods by Waleed Ayad, Siraj Qays, Asanka G. Perera, Ali Al-Naji

“…There is a fundamental relationship between the development of facial recognition algorithms and the possibility of the existence of databases of different faces that influence the appearance of the face in a constrained manner. …”
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Understanding lithium-ion battery management systems in electric vehicles: Environmental and health impacts, comparative study, and future trends: A review by R. Suganya, L.M.I. Leo Joseph, Sreedhar Kollem

“…It also addresses key challenges in EV adoption, such as range anxiety and the development of charging infrastructure. …”
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H-Alpha anomalyzer: An anomaly detector for H-Alpha solar observations using a grid-based approach by Mahsa Khazaei, Heba Mahdi, Kartik Chaurasiya, Azim Ahmadzadeh

“…Using this open-source package, users can transform the labor-intensive task of filtering anomalous observations from millions of instances, thereby enhancing the quality of data used for data-hungry algorithms, particularly Deep Neural Networks (DNNs). …”
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Mamba-DQN: Adaptively Tunes Visual SLAM Parameters Based on Historical Observation DQN by Xubo Ma, Chuhua Huang, Xin Huang, Wangping Wu

“…The parameter configuration of traditional visual SLAM algorithms usually relies on expert experience and extensive experiments, and the parameter configuration needs to be reset as the scene changes, which is a complex and tedious process. …”
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Daily Measurements from Cardiac Implantable Electronic Devices to Assess Health Status by Eva Roseboom, Fenna Daniëls, Michiel Rienstra, Alexander H. Maass

“…Pacing percentages and heart rate histograms can be used to optimize pacemaker programming, but can also be a measure of altered cardiac health status. …”
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A comprehensive review on smart manufacturing using machine learning applicable to fused deposition modeling by Swapnil Deokar, Narendra Kumar, Ravi Pratap Singh

“…In the recent past, machine learning (ML) has been emerged as a powerful computational tool for enhancing the manufacturing processes. ML has also been applied on the FDM to improve the performance. …”
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HDCTfusion: Hybrid Dual-Branch Network Based on CNN and Transformer for Infrared and Visible Image Fusion by Wenqing Wang, Lingzhou Li, Yifei Yang, Han Liu, Runyuan Guo

“…However, existing fusion algorithms often overlook the importance of incorporating both local and global feature extraction, leading to missing key information in the fused image. …”
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Modern conceptions of serological tumor markers and their role in oncology by N. S. Sergeeva, N. V. Marshutina, M. P. Solokhina, I. I. Alentov, N. K. Parilova, E. V. Zenkina, T. E. Skashchkova

“…Also some promising new serological tumor markers were described in this review.…”
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Artificial intelligence-based radiogenomics reveals the potential immunoregulatory role of COL22A1 in glioma and its induced autoimmune encephalitis by Bingchao Yan, Bingchao Yan, Qian Chen, Dacheng Wang, Leili Ding, Leili Ding, Jingfeng Qu, Renfei Du, Renfei Du, Wenjie Shi, Ulf D. Kahlert, Zhengquan Yu

“…Immune infiltration was evaluated using five algorithms (MCP-counter, EPIC, TIMER, QUANT and IPS). …”
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Laser-Induced Breakdown Spectroscopy Quantitative Analysis Using a Bayesian Optimization-Based Tunable Softplus Backpropagation Neural Network by Xuesen Xu, Shijia Luo, Xuchen Zhang, Weiming Xu, Rong Shu, Jianyu Wang, Xiangfeng Liu, Ping Li, Changheng Li, Luning Li

“…The BOTS-BPNN model also shows superior performance over other common machine learning models like random forest (RF). …”
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Developing multifactorial dementia prediction models using clinical variables from cohorts in the US and Australia by Caitlin A. Finney, David A. Brown, Artur Shvetcov

“…Tree-based machine learning algorithms and artificial neural networks were used. …”
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Applications and Considerations of Artificial Intelligence in Veterinary Sciences: A Narrative Review by Hesameddin Akbarein, Mohammad Hussein Taaghi, Mahyar Mohebbi, Parham Soufizadeh

“…This article presents a comprehensive review of the manifold applications of AI within the domain of veterinary science, categorizing them into four domains: clinical practice, biomedical research, public health, and administration. It also examines the primary machine learning algorithms used in relevant studies, highlighting emerging trends in the field. …”
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Development and Training of a Neural Network Filter for Satellite Images Processing by N. Andriyanov, A. Kim

“…In addition, the paper compares the effectiveness of the proposed approach with traditional filtering algorithms such as Kalman filter and Wiener filter. …”
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Expert Study of Issues Related to the Calculation and Payment of Wages and Other Payments Established by Law: Guidelines by М. М. Vinogradova, N. N. Bondar’

“…Based on the examples from expert practice, the author gives algorithms for solving the tasks on the calculation and payment of wages. …”
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AI-Driven Robotics: Innovations in Design, Perception, and Decision-Making by Lei Li, Li Li, Mantian Li, Ke Liang

“…Artificial intelligence (AI), driven by large datasets and advanced algorithms, plays a pivotal role in addressing these challenges and advancing robotics. …”
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A Review: Obstacle Perception Based on Panoramic Vision in Low-altitude Rotorcraft UAVs by Jiang Xiaoyan, Khairul Hamimah Abas, Abdul Rashid Husain

“…The paper also identifies major bottlenecks and outlines future development directions. …”
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Problematic Issues of Forensic Examinations in the Detection and Investigation of Crimes on Illicit Trafficking of Narcotic Drugs of Plant Origin by Azat R. Miftakhov

“…The author reveals the features of hallucinogens and dissociative anesthetics. The article also provides statistical indicators of the consumption growth of new psychoactive substances, including those contained in plant objects. …”
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