Intelligent energy optimization for advanced IoT analytics edge computing on wireless sensor networks by Israel Edem Agbehadji, Samuel Ofori Frimpong, Richard C Millham, Simon James Fong, Jason J Jung

“…The proposed algorithm (referred to as DEEC-KSA) was integrated with a distributed energy-efficient clustering algorithm to ensure efficient energy optimization and was evaluated through simulation and compared with benchmarked clustering algorithms. …”
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Accurate Real-Time Laser Spot Locating Based on Template Correlation in Intersatellite Laser Communications by Xiangsheng Meng, Wen Liu, Junfeng Han, Yan Tian, Jun Liu, Caiwen Ma

“…The proposed algorithm evaluates the central location of a laser spot by obtaining the index of the maximum Pearson correlation coefficient (PCC). …”
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Reconstruction of concrete morphology using deep learning by Ondřej Šperl, Jan Sýkora

“…A deep neural network (DNN) is used as a classifier, and the authors focus on studying different DNN architectures. The performance of the proposed algorithm is evaluated on several statistical descriptors and the grain size distribution curve. …”
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A novel approach for encryption and decryption of digital imaging and communications using mathematical modelling in internet of medical things by S. Thalapathiraj, J. Arunnehru, V. C. Bharathi, R. Dhanasekar, L. Vijayaraja, R. Kannadasan, Muhammad Faheem, Arfat Ahmad Khan

“…To thoroughly evaluate the performance of the algorithm, multiple tests were conducted, including extensive statistical analyses and assessments of encryption quality. …”
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Rheological changes in melts and magmas induced by crystallization and strain rate by Vetere, Francesco, Iezzi, Gianluca, Perugini, Diego, Holtz, Francois

“…An attempt to model available literature data for less evolved systems in dynamic scenarios and a comparison with MELTS algorithm approach (thermodynamic equilibrium conditions) is provided. …”
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Data mining methods application in reflexive adaptation realization in e-learning systems by A. S. Bozhday, Y. I. Evseeva, A. A. Gudkov

“…In recent years, e-learning technologies are rapidly gaining momentum in their evolution. In this regard, issues related to improving the quality of software for virtual educational systems are becoming topical: increasing the period of exploitation of programs, increasing their reliability and flexibility. …”
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Prediction of adverse drug reactions based on pharmacogenomics combination features: a preliminary study by Mingxiu He, Mingxiu He, Yiyang Shi, Fangfang Han, Fangfang Han, Fangfang Han, Yongming Cai, Yongming Cai, Yongming Cai

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A Novel Smart Molecular Fuzzy Decision Support System for Solid-State Battery Investments in Grid-Level Renewable Energy Storage by Gang Kou, Hasan Dincer, Serhat Yuksel, Edanur Ergun, Serkan Eti

“…For this purpose, a new decision-making model is developed that includes expert weighting with the entropy game, evaluation balancing with the Q-learning algorithm, calculation of criterion weights with the least squares optimization (LSO) and alternative ranking with the molecular ranking (MORAN) method. …”
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Fire Hawk Optimizer Adjusted Tri-Stage (1+PI)-PI-TID Cascade Controller for Automatic Generation Control of PSI by Moses Awal, Michael Robson Atim, Jimmy Nabende Wanzala, Johnes Obungoloch, Mohamed Barakat

“…This study aims to enhance the performance of automatic generation control (AGC) in power systems interconnection (PSI) by employing the fire hawk optimizer (FHO), a green algorithm, to optimize a novel tri-stage cascade controllers (CCs) configuration: (1+PI)-PI-PID and (1+PI)-PI-TID CCs. …”
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A spatio-temporal fusion-based approach for multi-dimensional classification of Parkinson’s disease progression using multi-modal dataset by Vinay Kukreja, Vandana Ahuja, Modafar Ati, Hariharan Shanmugasundaram, Murugaperumal Krishnamoorthy, Rishabh Sharma, Abhishek Bhattacherjee

“…Context: The progressive neurodegenerative disorder Parkinson’s disease (PD) features diverse symptom presentation that progresses at different speeds and demands effective disease classification with precise patient management. …”
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Load-dependent vehicle routing problem with route time constraint: a heuristic approach by Nguyen Thuy Trang, Parthana Parthanadee, Jirachai Buddhakulsomsiri, Pham Duc Tai

“…The performance of the proposed mathematical model and the heuristic algorithm is evaluated by using adapted problem instances, where different combinations of capacity, route time limitations, and base loads are included. …”
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FedPark: A Federated Learning Crowdsensing Solution for On-Street Parking Availability by Afraa Attiah, Shatha Alahmadi, Abeer Hakeem, Linda Mohaisen, Abeer Almakky, Reemah M. Alhebshi

“…Instead of transmitting raw data, only model updates are shared, reducing communication overhead and security risks. FedPark is evaluated under different urban conditions such as different numbers of drivers and destinations. …”
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Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

“…Numerous studies have proposed various solutions that incorporate ML and feature selection (FS) algorithms with different degrees of accuracy. Yet, the domain needs a comparative analysis of the accuracy of different classifiers and FS algorithms to comprehend their true capabilities in various datasets. …”
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Automated quantification of T1 and T2 relaxation times in liver mpMRI using deep learning: a sequence-adaptive approach by Lukas Zbinden, Samuel Erb, Damiano Catucci, Lars Doorenbos, Leona Hulbert, Annalisa Berzigotti, Michael Brönimann, Lukas Ebner, Andreas Christe, Verena Carola Obmann, Raphael Sznitman, Adrian Thomas Huber

“…Abstract Objectives To evaluate a deep learning sequence-adaptive liver multiparametric MRI (mpMRI) assessment with validation in different populations using total and segmental T1 and T2 relaxation time maps. …”
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External phantom-based validation of a deep-learning network trained for upscaling of digital low count PET data by Anja Braune, René Hosch, David Kersting, Juliane Müller, Frank Hofheinz, Ken Herrmann, Felix Nensa, Jörg Kotzerke, Robert Seifert

“…The performance of this algorithm has so far only been clinically evaluated on patient data featuring limited scan statistics and unknown actual activity concentration. …”
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An Improved Artificial Neural Network Model for Effective Diabetes Prediction by Muhammad Mazhar Bukhari, Bader Fahad Alkhamees, Saddam Hussain, Abdu Gumaei, Adel Assiri, Syed Sajid Ullah

“…This paper develops an improved ANN model trained using an artificial backpropagation scaled conjugate gradient neural network (ABP-SCGNN) algorithm to predict diabetes effectively. For validating the performance of the proposed model, we conduct a large set of experiments on a Pima Indian Diabetes (PID) dataset using accuracy and mean squared error (MSE) as evaluation metrics. …”
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Classification of Continuous Sky Brightness Data Using Random Forest by Rhorom Priyatikanto, Lidia Mayangsari, Rudi A. Prihandoko, Agustinus G. Admiranto

“…This study aims to develop a classification model based on Random Forest algorithm and to evaluate its performance. Using sky brightness data from 1250 nights with minute temporal resolution acquired at eight different stations in Indonesia, datasets consisting of 15 features were created to train and test the model. …”
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Optimization configuration method of integrated energy system for reliability improvement of distribution network by SHI Mingming, MIAO Huiyu, GUO Jiahao, JIANG Yunlong, XIAO Xiaolong

“…Then, based on the NSGA-Ⅱ (non-dominated sorting genetic agorithm Ⅱ) multi-objective optimization algorithm, the equipment capacity and access point location of IES are optimized with the objective of the economy and reliability of IES and distribution network respectively, and the optimal scheme under different planning scenarios is selected in Pareto solution set by utility function. …”
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Robust Optical and SAR Image Registration Using Weighted Feature Fusion by Ao Luo, Anxi Yu, Yongsheng Zhang, Wenhao Tong, Huatao Yu

“…To verify the effectiveness of the method, different optical and SAR datasets are used to compare it with the currently advanced algorithms MOGF, CFOG, and FED-HOPC. …”
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Phenotypic heterogeneity and diagnostic features of transthyretin amyloidosis with polyneuropathy by S. S. Nikitin, S. N. Bardakov, N. A. Suponeva, I. V. Zhirov, T. A. Adyan, D. A. Grishina, R. V. Deev

“…Molecular genetic testing should be considered early in the evaluation of a patient with unexplained peripheral neuropathy and cardiomyopathy. …”
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