Short-Term Load Forecasting for Electrical Power Distribution Systems Using Enhanced Deep Neural Networks by Shewit Tsegaye, Sanjeevikumar Padmanaban, Lina Bertling Tjernberg, Kinde Anlay Fante

“…In this study, we introduce a Long Short-Term Memory (LSTM), augmented with enhancements inspired by an Efficient and Parallel Genetic Algorithm (EPGA) for the STLF of Jimma town power distribution system. …”
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Detecting Malware C&C Communication Traffic Using Artificial Intelligence Techniques by Mohamed Ali Kazi

“…Subsequently, a methodology is proposed for detecting banking malware C&C communication traffic, and this methodology is tested using several feature selection algorithms to determine which feature selection algorithm performs the best. …”
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Exploring patterns in pediatric type 1 diabetes care and the impact of socioeconomic status by Christopher Nussbaum, Anna Novelli, Amelie Flothow, Leonie Sundmacher

“…Using state sequence analysis and clustering algorithms from the TraMineR R package, we identified patient clusters based on healthcare utilization patterns. …”
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Processing large amounts of data in Python for the purposes of applied socio-economic research: advantages and current issues by E. S. Konishchev

“…The relevance of   the topic and purpose of  the article is   due to   the existing scientific gap related to a  comprehensive consideration of   the technical aspects of   the use of  programming languages and associated tools for socio-economic research. Thus, many authors who use programming languages in   their works rarely provide information regarding the advantages of   certain algorithms or  approaches. …”
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An Automated Method of Parametric Thermal Shaping of Complex Buildings with Buffer Spaces in a Moderate Climate by Jacek Abramczyk, Wiesław Bielak, Ewelina Gotkowska

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Efficient implementation of post-quantum digital signatures on Raspberry Pi by Mahmood A. Al-Shareeda, Ahmed Abdul Hassan Ghadban, Ali Abdul Hadi Glass, Esam Mohamed Abdul Hadi, Mohammed Amin Almaiah

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A STRUCTURE APPROACH FOR A PHOTOVOLTAIC STATION CONTROL BASED ON ADAPTIVE FUZZY AGENT by I. A. Elzein, Yu. N. Petrenko

“…To overcome this problem, many maximum power point tracking (MPPT) control algorithms have been presented. …”
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Modelling of compositional gradient for reservoir fluid in a gas condensate deposit with account for scattered liquid hydrocarbons by Ekaterina V. Kusochkova, Ilya M. Indrupskii, Dmitrii V. Surnachev, Yuliya V. Alekseeva, Aleksandr N. Drozdov

“…The results of the calculations using the proposed algorithm show peculiarities of variations of the LHC content and its impact on the distribution of gas condensate mixture composition with depth. …”
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AI augmented edge and fog computing for Internet of Health Things (IoHT) by Deepika Rajagopal, Pradeep Kumar Thimma Subramanian

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Improved Runge Kutta Optimizer with Fitness Distance Balance-Based Guiding Mechanism for Global Optimization of High-Dimensional Problems by Çağrı Suiçmez, Hamdi Kahraman, Cemal Yılmaz, Enes Cengiz

“…Thus, using the FDB-based RUN algorithm, the global optimum value of many optimization problems will be obtained in the future. …”
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Fuzzy Optimized Attention Network with Multi-Instance Deep Learning (FOAN-MIDL) for Alzheimer’s Disease Diagnosis with Structural Magnetic Resonance Imaging (sMRI) by Afnan M. Alhassan, Nouf I. Altmami

“…<b>Results:</b> An attention technique to estimate the weight of every case is presented: the fuzzy salp swarm algorithm (FSSA). The swarming actions of salps in oceans serve as the inspiration for the FSSA. …”
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IMPROVING THE ACCURACY OF DETERMINING DEVIANT GROUPS IN THE SELECTION AND MONITORING OF THE CRITICAL INFORMATION INFRASTRUCTURE ENTERPRISES STAFF by Vladimir L. Evseev, Anton S. Burakov, Anatoly V. Marchenko

“…The method is based on an iterative clustering algorithm, the k-means method, based on minimizing the total squared deviations of cluster points from the centroids of these clusters. …”
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Active Touch Sensing for Robust Hole Detection in Assembly Tasks by Bojan Nemec, Mihael Simonič, Aleš Ude

“…It is specifically designed for objects composed of multiple parallel surfaces located at distinct heights; a common characteristic in many assembly tasks. In addition to the deterministic approach, we introduce a probabilistic version of the algorithm, which effectively compensates for sensor noise and inaccuracies in the 3D map. …”
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Characteristics of Complexity: Clique Number of a Polytope Graph and Rectangle Covering Number by A. N. Maksimenko

“…Moreover, it was argued that this class is wide enough and includes many classical combinatorial algorithms. In this paper we present a few examples, designed to identify the limits of applicability of this theory. …”
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Voltage-based prediction technique for efficient MPPT method for SPV systems under non-uniform insolation and partial shading conditions by Haider A. Mohamed-Kazim, Ahmed Hussein Shatti, Ahmed Aldhahab, Ikhlas Abdel-Qader, Sarmad K. Ibrahim, Rusul Noori Saraj

“…The combination of different modules of photovoltaic (PV) cells produces many peaks under partial shading conditions. Therefore, extracting the global maximum power is crucial to attain better efficiency. …”
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Building an international precision medicine platform trial for the acute respiratory distress syndrome (ARDS): an expert consensus project report by Kiran Reddy, Neil Aggarwal, Narges Alipanah-Lechner, Djillali Annane, David B Antcliffe, Daphne Babalis, J Kenneth Baillie, Abigail Beane, Lieuwe DJ Bos, Aidan Burrell, Carolyn S Calfee, Kiki Cano-Gamez, Victoria R Cornelius, Mary Cross, Emma Davenport, Lorenzo del Sorbo, Laura Esserman, Eddy Fan, Vito Fanelli, Niall D Ferguson, D Clark Files, Christoph Fisser, Shigeki Fujitani, Ewan C Goligher, Anthony C Gordon, Giacomo Grasselli, Fergus Hamilton, Rashan Haniffa, Andrea Haren, Daniel JR Harvey, Leanne M Hays, Anna Heath, Nicholas Heming, Susanne Herold, Tim Hicks, Nao Ichihara, Vinod Jaiswal, Jun Kataoka, Julian C Knight, Patrick R Lawler, Kathleen Liu, John C Marshall, David M Maslove, Michael A Matthay, Daniel F McAuley, Nuala J Meyer, Jonathan A Millar, Holger Müller-Redetzky, Alistair Nichol, John Norrie, Marlies Ostermann, Andrew Owen, Cecilia M O’Kane, Dhruv Parekh, Rachel Phillips, Duncan Richards, Bram Rochwerg, Anthony J Rostron, Hiroki Saito, Romit J Samanta, Vittorio Scaravilli, Wesley Self, Manu Shankar-Hari, A John Simpson, Pratik Sinha, Marry R Smit, Jonathan Stewart, B Taylor Thompson, István Vadász, Ed Waddingham, Steve Webb, Graham Wheeler, D Martin Witzenrath, Mark M Wurfel, Thomas R Martin

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A Lexicon-Based Framework for Mining and Analysis of Arabic Comparative Sentences by Alaa Hamed, Arabi Keshk, Anas Youssef

“…This research topic is not widely investigated in many research studies. This paper proposes a lexicon-based framework which includes a set of proposed algorithms for the mining and analysis of Arabic comparative sentences. …”
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Framework for Analysis of Queueing Systems with Correlated Arrival Processes and Simultaneous Service of a Restricted Number of Customers in Scenarios with an Infinite Buffer and R... by Alexander Dudin, Sergei Dudin, Agassi Melikov, Olga Dudina

“…In this paper, we create a framework for the uniform algorithmic analysis of queueing systems with the Markov arrival process and the simultaneous service of a restricted number of customers, described by a multidimensional Markov chain. …”
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Fidex and FidexGlo: From Local Explanations to Global Explanations of Deep Models by Guido Bologna, Jean-Marc Boutay, Damian Boquete, Quentin Leblanc, Deniz Köprülü, Ludovic Pfeiffer

“…Deep connectionist models are characterized by many neurons grouped together in many successive layers. …”
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Explainable MRI-Based Ensemble Learnable Architecture for Alzheimer’s Disease Detection by Opeyemi Taiwo Adeniran, Blessing Ojeme, Temitope Ezekiel Ajibola, Ojonugwa Oluwafemi Ejiga Peter, Abiola Olayinka Ajala, Md Mahmudur Rahman, Fahmi Khalifa

“…With the advancements in deep learning methods, AI systems now perform at the same or higher level than human intelligence in many complex real-world problems. The data and algorithmic opacity of deep learning models, however, make the task of comprehending the input data information, the model, and model’s decisions quite challenging. …”
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