Energy Use and Demand Prediction Using Time-Series Deep Learning Forecasting Techniques: Application for a University Campus by Bivin Pradeep, Parag Kulkarni, Farman Ullah, Abderrahmane Lakas

“…The window size six performs better for most time-series algorithms and hyperparameter combinations.…”
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Microcephalic osteodysplastic primordial dwarfism type II in four Indian children with PCNT variants by Amit Singh, Mahak Garg, Mohammed Shariq, Preeti Khetarpal, Inusha Panigrahi

“…Data were analyzed using standard bioinformatic algorithms and possible causal variants identified. …”
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Dual-Band Power Divider with Wide Suppression Band by Salman Karimi, Golshan Mohamadpour, Saeed Roshani

“…The weights of each neuron are obtained using particle swarm optimization algorithms. The proposed neural network model has accurate results, and the mean relative error of the train and test data for both outputs is <0.1 , which validates the accurate results of the proposed model. …”
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Multivariate analysis of long-term climate data in connection with yield, earliness and the problem of global warming by V. M. Efimov, D. V. Rechkin, N. P. Goncharov

“…This optimization should apply algorithms for smart farming and take into consideration possible climate variations.  …”
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Chronic hepatitis C course at elderly and therapeutic approach by M. V. Mayevskaya, M. A. Morozova

“…This complication requires careful monitoring of hemoglobin and hematocrit level during the whole period of treatment and, if necessary, decline of drug doses according to established algorithms.Conclusion. Elderly age is not an absolute contraindication for antiviral treatment. …”
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Innovative approaches in marketing for the development of the tourism industry by Yuliia Stasiuk, Andrii Kobchenko

“…For instance, AI-powered chatbots and virtual assistants provide real-time customer support, while machine learning algorithms analyze booking patterns to offer personalized travel recommendations. …”
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Aggregate Queries in Wireless Sensor Networks by Jeong-Joon Kim, In-Su Shin, Yan-Sheng Zhang, Dong-Oh Kim, Ki-Joon Han

“…Existing representative in-network aggregate query processing techniques propose routing algorithms and data structures for processing aggregate queries. …”
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STURM-Flood: a curated dataset for deep learning-based flood extent mapping leveraging Sentinel-1 and Sentinel-2 imagery by Nicla Notarangelo, Charlotte Wirion, Frankwin van Winsen

“…Timely assessment and mapping of inundations are crucial for preventive and emergency measures, driving the demand for curated global geospatial data to implement novel algorithms. This study introduces the STURM-Flood dataset, a high-quality, open-access, and DL-ready resource for flood extent mapping using Sentinel-1 and Sentinel-2 satellite imagery, combined with ground-truth data from the Copernicus Emergency Management Service. …”
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An Overview of Reviews as a Trend Maker in the Field by L. K. Raitskaya, E. V. Tikhonova

“…The authors consider the methodology basics of reviews as a prospective type of scholarly publications, their taxonomy and most popular review types (narrative reviews, bibliometric reviews, systematic reviews, reviews of reviews, scoping reviews, meta-analysis), as well as specific features of procedures and algorithms for conducting reviews. Top 100 of highly cited reviews on higher education from 2010 to 2019 published in high-ranking peer-reviewed journals and indexed in the international database Scopus is based on the traditional methodology that aims to sample the most essential and influential publications of the kind in a well-represented and unbiased way and to subject the sampled reviews to content, bibliometric, and linguistic analyses. based on the inclusion criteria, keywords and methods of objective selection and sampling of the publications to be reviewed and analyzed, the authors singled out the essential thematic clusters in Top-100 list (educational technologies, university, student, teaching, learning, assessment, etc.) and determined the key directions in the review field of study. …”
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The National Police in the system of administrative delinquency prevention subjects by O. M. Muzychuk

“…The article notes that the introduction of martial law in Ukraine has changed the approach to the organisation of police work, since domestic law enforcement agencies have faced challenges previously unknown to science and practice, in particular, in the area of prevention of administrative delinquency among internally displaced persons, in the de-occupied territories, and in the context of hostilities, which required new algorithms and approaches, as well as consideration of the priorities and principles of activity. …”
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Credit card default prediction using ML and DL techniques by Fazal Wahab, Imran Khan, Sneha Sabada

“…Subsequently, various techniques are employed to preprocess the unprocessed data and visually present the outcomes through the use of exploratory data analysis (EDA). Furthermore, the algorithms are hypertuned to evaluate the enhancement in prediction. …”
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Quantum Key Distribution Applicability to Smart Grid Cybersecurity Systems by Warren Grice, Mohammed Olama, Annabelle Lee, Philip G. Evans

“…However, with the increasing number of sophisticated attacks as well as the increasing computational power, the security of the &#x201C;classical&#x201D; cryptographic algorithms is threatened. Quantum information science offers solutions to this problem, specifically quantum key distribution (QKD), which provides a means for the generation and secure distribution of symmetric cryptographic keys. …”
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RASGRF2 as a potential pathogenic gene mediating the progression of alcoholic hepatitis to alcohol-related cirrhosis and hepatocellular carcinoma by Zhengyuan Chen, Danfeng Fan, Tianyi Hang, Xiaoqing Yue

“…After screening with two machine learning algorithms, five shared genes remained. Combining the results of the immune infiltration and bulk transcriptome results from an independent validation cohort, the core shared gene was determined to be RASGRF2. …”
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Optimization and loss estimation in energy-deficient polygeneration systems: A case study of Pakistan's utilities with integrated renewable energy by Muhammad Shoaib Saleem, Naeem Abas

“…Techniques used for electricity demand forecasting encompass artificial intelligence, artificial neural networks, trend line extrapolations, fuzzy logic, vector support machines, genetic algorithms and expert systems. Demand forecasting becomes even more difficult in polygeneration utilities with renewable energy sources integrated to meet the varying demands. …”
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Optimization of Meat and Poultry Farm Inventory Stock Using Data Analytics for Green Supply Chain Network by Rajnish Kler, Roshan Gangurde, Samariddin Elmirzaev, Md Shamim Hossain, Nhut V. T. Vo, Tien V. T. Nguyen, P. Naveen Kumar

“…Effective inventory optimization algorithms have been shown to be able to evaluate a significant portion of previous sales data and anticipate inventory future demand by taking seasonality and lead times into account. …”
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Design, Multiperspective Investigations, and Performance Analysis of Multirotor Unmanned Aerial Vehicle for Precision Farming by Darshan Kumar Jayaram, Vijayanandh Raja, Beena Stanislaus Arputharaj, Hussein A. Z. AL-bonsrulah

“…In this experiment, AI algorithms were used to lemon leaves. Three AI systems were tested on different datasets to forecast plant stress by analyzing leaves due to technical constraints. …”
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Predictive modelling of hexagonal boron nitride nanosheets yield through machine and deep learning: An ultrasonic exfoliation parametric evaluation by Jerrin Joy Varughese, Sreekanth M․S․

“…A suite of machine learning regression models including Adaptive Boosting (AdaBoost) Regressor, Random Forest (RF) Regressor, Linear Regressor (LR), and Classification and Regression Tree (CART) Regressor, was employed alongside a deep neural network (DNN) architecture optimized using various algorithms such as Adaptive Moment Estimation (Adam), Root Mean Square Propagation (RMS Prop), Stochastic Gradient Descent (SGD), and Limited-memory Broyden-Fletcher-Goldfarb-Shanno (L-BFGS). …”
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IMPLEMENTATION OF LEARNING MANAGEMENT SYSTEMS WITH GENERATIVE ARTIFICIAL INTELLIGENCE FUNCTIONS IN THE POST-PANDEMIC ENVIRONMENT by Denis-Cătălin Arghir

“…To demonstrate the system's effectiveness, a curriculum was crafted for a specialized field of study - Artificial Intelligence (AI), with a specific focus on the practical application of Machine Learning algorithms. This curriculum incorporates theoretical and practical application components, complemented by a suite of assessment tools and assignments tailored to the proposed subject. …”
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An improved soft voting-based machine learning technique to detect breast cancer utilizing effective feature selection and SMOTE-ENN class balancing by Indu Chhillar, Ajmer Singh

“…However, if the dataset contains duplicate or irrelevant features, machine learning-based algorithms are unable to give the intended results. …”
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Continuously tracking of moving object by a combination of ultra-high frequency radio-frequency identification and laser range finder by Yulu Fu, Ran Liu, Hua Zhang, Gaoli Liang, Shafiq ur Rehman, Lixiang Liu

“…Two-dimensional laser range finders can provide the distance to the objects but require complicated recognition algorithms to acquire the identity of object. This article proposes an innovative method to track the locations of dynamic objects by combining radio-frequency identification and laser ranging information. …”
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