Machine Learning in the National Economy by Azamjon A. Usmonov

“…By using modern technologies such as Python, Pandas, NumPy, and Scikit-learn, the research demonstrated the ability to process and analyze large volumes of economic data with high precision. …”
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Sustainable Innovations in the Food Industry through Artificial Intelligence and Big Data Analytics by Saurabh Sharma, Vijay Kumar Gahlawat, Kumar Rahul, Rahul S Mor, Mohit Malik

“…This paper addresses the research concerning AI and big data analytics in the food industry, including machine learning, artificial neural networks (ANNs), and various algorithms. …”
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THE INVERSE GAUSSIAN PLUME METHOD FOR ESTIMATING THE LEVEL OF AIR POLLUTION by Volodymyr Hura, Liubomyr Monastyrskyi

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MULTIPARAMETER ADAPTIVE CONTROL SYSTEM OF GRAIN COMBINE by Dmitry Y. Parshin, Denis G. Shevchuk

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Optimization of Home Energy Management Systems in Smart Cities Using Bacterial Foraging Algorithm and Deep Reinforcement Learning for Enhanced Renewable Energy Integration by Mohammed Naif Alatawi

“…The BFMO algorithm demonstrates its adaptability to fluctuating energy costs and consumption patterns by simulating the foraging behaviour of bacteria. …”
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Directivity enhancement of microstrip antennas for high-resolution brain tumor imaging using characteristic modes theory and the confocal microwave image reconstruction algorithm by Mouad El Moudden, Badiaa Ait Ahmed, Ibtisam Amdaouch, Mohamed Zied Chaari, Juan Ruiz-Alzola, Otman Aghzout

“…This paper presents innovative methodologies for designing and optimizing antenna characteristics using characteristic modes theory (CMT), specifically adapted for high-resolution imaging in medical applications. Our research focuses on the critical goal of improving the accuracy and precision of brain tumor detection through a confocal microwave image reconstruction algorithm. …”
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RpiBeh offers a versatile open source solution for rodent behavior tracking and closed loop interventions by Yiqi Sun, Jie Zhang, Qianyun Wang, Jianguang Ni

“…For real-time tracking and locomotion pattern analysis, RpiBeh utilizes several novel algorithms and integrated newly developed deep-learning method. …”
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How Students Behave while Solving Critical Thinking Tasks in an Unconstrained Online Environment: Insights from Process Mining by Anastasia Beliaeva

“…The findings of the work were gained on generalised behaviour patterns from the process mining algorithm deployed on two groups of students (63 low performing and 45 high performing students). …”
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Lightweight Deepfake Detection Based on Multi-Feature Fusion by Siddiqui Muhammad Yasir, Hyun Kim

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Voluntary Muscle Contraction Pattern in Cerebral Palsy by Reducing Guidance Force in Robot-Assisted Gait Training: A Proof of Concept Focused on a Single-Participant Study by Suncheol Kwon, Sora Park, Ji Hye Jung, Hyun Kyung Kim

“…The effects of reduced assistive force on muscle activity patterns were quantitatively analyzed using a clustering algorithm and electromyography. …”
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Neural Networks Method in modeling of the financial company’s performance by I. P. Kurochkina, I. I. Kalinin, L. A. Mamatova, E. B. Shuvalova

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Agricultural crop pattern mapping and change analysis at a sub-district level in South-eastern region, Bangladesh using Landsat satellite data from 2010 to 2019 by Biswajit Nath, Monir Hossain, Sahadeb Chandra Majumder

“…ACP identification was a challenging task in the worldwide research relevant to crop-related studies. To overcome this, we have considered frequently used traditional unsupervised classifier, such as K-means clustering algorithm technique. …”
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MAPE-ViT: multimodal scene understanding with novel wavelet-augmented Vision Transformer by Muhammad Waqas Ahmed, Touseef Sadiq, Hameedur Rahman, Sulaiman Abdullah Alateyah, Mohammed Alnusayri, Mohammed Alatiyyah, Dina Abdulaziz AlHammadi

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Electronic Nose System Based on Metal Oxide Semiconductor Sensors for the Analysis of Volatile Organic Compounds in Exhaled Breath for the Discrimination of Liver Cirrhosis Patient... by Makhtar War, Benachir Bouchikhi, Omar Zaim, Naoual Lagdali, Fatima Zohra Ajana, Nezha El Bari

“…This research provides a foundation for advancing breath-based diagnostic technologies for early detection and monitoring of liver cirrhosis.…”
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Histopathological Image Analysis Using Machine Learning to Evaluate Cisplatin and Exosome Effects on Ovarian Tissue in Cancer Patients by Tuğba Şentürk, Fatma Latifoğlu, Çiğdem Gülüzar Altıntop, Arzu Yay, Zeynep Burçin Gönen, Gözde Özge Önder, Özge Cengiz Mat, Yusuf Özkul

“…A set of 177 Local Binary Pattern (LBP) features were extracted from histopathological images, followed by feature selection using Lasso regression. …”
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DYNAMICS OF URBAN LANDSCAPE AND ITS THERMAL INTERACTIONS WITH SELECTED LAND COVER TYPES: A CASE OF BENIN CITY, NIGERIA by Oseyomon John AIGBOKHAN, Oludare Hakeem ADEDEJI, Abiodun Olusegun OLADOYE, John Adebayo OYEDEPO

“…The relative transfer equation (RTE) and land surface emissivity (LSE) approaches were used to retrieve the land surface temperature (LST), whereas the Cellular Automata-Markov (CA-Markov) algorithm was used to forecast the LULC for 2030. The findings reveal evolving LULC patterns over time. …”
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The Detection of Past and Future Land Use and Land Cover Change in Ugam Chatkal National Park, Uzbekistan, Using CA-Markov and Random Forest Machine Learning Algorithms by Bokhir Alikhanov, Bakhtiyor Pulatov, Luqmon Samiev

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An Overview of Deep Learning Applications in Groundwater Level Modeling: Bridging the Gap between Academic Research and Industry Applications by Ahmed Shakir Ali Ali, Farhad Jazaei, Peyman Babakhani, Muhammad Masood Ashiq, Alireza Bakhshaee, Brian Waldron

“…DL models utilize complex algorithms to identify patterns that may be difficult to observe with traditional physics-based models, specifically where the underlying physics is complex or poorly understood or where the available physical model is too simple. …”
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A comparative study of machine learning algorithms for fall detection in technology-based healthcare system: Analyzing SVM, KNN, decision tree, random forest, LSTM, and CNN by Afuan Lasmedi, Isnanto R. Rizal

“…The research utilizes a dataset consisting of 1,428 training samples and 573 testing samples, evaluated using a 10-fold cross-validation technique. …”
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Research on automatic identification method for pipeline girth weld defects based on X-ray images and sparse representation by Shaohui JIA, Yaping LI, Weixin GAO, Yunchao PENG, Xinjian ZHANG, Yuxia WANG

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