Monitoring Gypsiferous Soils by Leveraging Advanced Spaceborne Hyperspectral Imagery via Spectral Indices and a Machine Learning Approach by Najmeh Rasooli, Saham Mirzaei, Stefano Pignatti

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Clinical applications of artificial intelligence and machine learning in neurocardiology: a comprehensive review by Jade Basem, Racheed Mani, Scott Sun, Kevin Gilotra, Neda Dianati-Maleki, Reza Dashti

“…While many algorithms still require a larger knowledge base or manual algorithmic training, AI/ML in neurocardiology has the potential to provide more comprehensive healthcare treatment, increase access to equitable healthcare, and improve patient outcomes. …”
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Segmentation of Pulp and Pulp Stones with Automatic Deep Learning in Panoramic Radiographs: An Artificial Intelligence Study by Mujgan Firincioglulari, Mehmet Boztuna, Omid Mirzaei, Tolgay Karanfiller, Nurullah Akkaya, Kaan Orhan

“…<b>Background/Objectives</b>: Different sized calcified masses called pulp stones are often detected in dental pulp and can impact dental procedures. The current research was conducted with the aim of measuring the ability of artificial intelligence algorithms to accurately diagnose pulp and pulp stone calcifications on panoramic radiographs. …”
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Single target tracking in high-resolution satellite videos: a comprehensive review by Xin Huang, Ding Wang, Qiqi Zhu, Ying Zheng, Qingfeng Guan

“…To identify emerging research trends and opportunities, we classify established and emerging algorithms into three main categories and evaluate their performance on typical satellite videos. …”
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Examining Car Accident Prediction Techniques and Road Traffic Congestion: A Comparative Analysis of Road Safety and Prevention of World Challenges in Low-Income and High-Income Cou... by Yetay Berhanu, Esayas Alemayehu, Dietrich Schröder

“…Therefore, it is crucial to consider ML and spatial analysis techniques and advanced optimization algorithms to enhance traffic flow control, in road safety research and transport planning efforts.…”
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Frame Theory and Fractional Programming for Sparse Recovery-Based mmWave Channel Estimation by Razvan-Andrei Stoica, Hiroki Iimori, Giuseppe Thadeu Freitas de Abreu, Koji Ishibashi

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A Developed Asymmetric Multilevel Inverter with Lower Number of Components by Y. Naderi-Zarnaghi, M. Karimi, M. R. Jannati-Oskuee, S.H. Hosseini, S. Najafi-Ravadanegh

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Epidemiological and clinical aspects of syphilis incidence in the Russian Federation and the Republic of Uzbekistan: comparative analysis by Margarita R. Rakhmatulina, Delya F. Porsokhonova, Elena Yu. Novoselova, Avaz Sh. Inoyatov

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An efficient method for identifying surface damage in hydraulic concrete buildings by Libo Yang, Dawei Zhu, Xuemei Liu

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A learning trajectory for developing computational thinking in prospective mathematics teachers through Python programming in Google Colab by Edi Irawan, Moh. Khoridatul Huda, Ratni Purwasih

“…The research participants were prospective mathematics teacher students enrolled in a computer programming course. …”
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Leveraging Advanced Technologies for Real-Time Plant Disease Monitoring by Mishra Archana, Afzal Md

“…Mobile applications with smartphone cameras and ML algorithms that give on the go disease diagnoses help the farmers make instant actionable information for early intervention. …”
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A reliable score-based routing protocol using a fog-assisted intrusion detection system in vehicular ad-hoc networks by Samira Tahajomi Banafshehvaragh, Mani Zarei, Amir Masoud Rahmani

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A review of machine learning and deep learning for Parkinson’s disease detection by Hajar Rabie, Moulay A. Akhloufi

“…The application of ML and DL in PD research offers significant potential for improving diagnostic accuracy. …”
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Fast, Robust, and Learned Distribution-Based Sorting by Paolo Ferragina, Mattia Odorisio

“…Despite a long history of research and achievements in designing sorting routines, new hardware features and application requirements pose advanced challenges that computer scientists are recently tackling through novel data-aware (learned) algorithms. …”
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THE IMPROVEMENT OF PROFESSIONAL TRAINING ORGANIZATION OF THE X-RAY SCREENING SYSTEMS OPERATORS BY USING THE EYE MOVEMENTS REGISTRATION SYSTEM AND METHODS OF CLUSTER AND DISCRIMINAN... by A. K. Volkov, V. V. Ionov

“…The X-ray screening systems operators’ professional training is based on the CBT (computer-based training) principle, which has algorithms of adaptive training. These algorithms in existing computer simulators include feedback mechanisms on the basis of trainability exponents – such as the frequency of detecting dangerous objects, the frequency of false alarms and detection time. …”
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Utilizing UAVs in Wireless Networks: Advantages, Challenges, Objectives, and Solution Methods by Mohammad Javad Sobouti, Amirhossein Mohajerzadeh, Haitham Y. Adarbah, Zahra Rahimi, Hamed Ahmadi

“…Additionally, we discuss the main methods and algorithms employed for UAV placement and trajectory optimization. …”
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Deep Learning-Based Draw-a-Person Intelligence Quotient Screening by Shafaat Hussain, Toqeer Ehsan, Hassan Alhuzali, Ali Al-Laith

“…The primary objective of our research is to streamline the IQ screening process for psychologists by leveraging deep learning algorithms. …”
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Preliminary Electroencephalography-Based Assessment of Anxiety Using Machine Learning: A Pilot Study by Katarzyna Mróz, Kamil Jonak

“…<b>Conclusions</b>: By integrating ML with EEG analysis, this study highlights the potential for future healthcare applications, including neurorehabilitation, anxiety disorder therapy, and predictive clinical models. Future research should focus on optimizing ML algorithms, enhancing personalization, and addressing ethical concerns related to patient privacy.…”
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Control and management in a complex biotechnical system of a dairy farm by V. V. Kirsanov, R. A. Baisheva

“…The research is aimed at profound study of the influence of the "machine" factor (M) in the "human-machineanimal" system ("H-M-A") with the detailed description of the functions performed by "M", taking into account the convey of "M" control and control functions from the subsystems "human-operator" (HO) and "animal" (A). …”
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An Ensemble Learning Approach for Drought Analysis and Forecasting in Central Bangladesh by Md. Alomgir Hossain, Momotaz Begum, Md. Nasim Akhtar, Md. Alamin Talukder, Nomanur Rahman, Mahfuzur Rahman

“…The focus of the study is to evaluate the accuracy of machine learning (ML) algorithms in predicting meteorological droughts in central region of Bangladesh from 1990 to 2022, using data from seven meteorological stations. …”
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