THE USE OF PROJECT TECHNOLOGIES IN THE CONTEXT OF TRAINING FUTURE EDUCATORS FOR PROFESSIONAL ACTIVITY IN THE CONTEXT OF INCLUSIVE EDUCATION IN PRESCHOOL EDUCATION INSTITUTIONS by Л. Шевченко, М. Сорочан

“…Particular attention is paid to the structure of project activities: preparation, planning, research, conclusions, presentation or report, evaluation of the result, and process. The developed algorithm of applying Bloom's taxonomy for the formation of inclusive competence during project activities based on the use of innovative technologies is presented. …”
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DBSQFusion: a multimodal image fusion method based on dual-channel attention by Shaodong Liu, Faming Shao, Xiaohui He, Jinhong Xue, Heng Zhang, Qing Liu

“…To minimize this loss and enhance contrast and detail information, this paper proposes a novel image fusion algorithm based on attention mechanisms, termed Dual-Branch Squared Quadratic (DBSQ)Fusion. …”
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High-Level Synthesis under Fixed-Point Accuracy Constraint by Daniel Menard, Nicolas Herve, Olivier Sentieys, Hai-Nam Nguyen

“…To dramatically reduce the optimization time compared to fixed-point simulation-based methods, the accuracy evaluation is done through an analytical method. Different experiments on signal processing algorithms are presented to show the efficiency of the proposed method. …”
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Credibility Assessment for Digital Twins in Vehicle-in-the-Loop Test Based on Information Entropy by Tianfang Gao, Liang Chen, Xinghui Zhang, Jinghua Guo, Dong Ni

“…The algorithm has been successfully verified in experiments and it has been found that the inconsistent weight of the real and digital vehicle is an important factor on digital twins VIL tests. …”
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Comprehensive dataset for fault detection and diagnosis in inverter-driven permanent magnet synchronous motor systemszenodo by Abdelkabir Bacha, Ramzi El Idrissi, Khalid Janati Idrissi, Fatima Lmai

“…Despite the increasing significance of AI-driven FDD techniques, the domain suffers from a lack of publicly accessible, real-world datasets for algorithm development and evaluation. Our contribution fills this gap by offering a comprehensive, multi-sensor dataset obtained from a bespoke experimental apparatus. …”
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An Adaptive Amplifier System for Wireless Sensor Network Applications by Mónica Lovay, Gabriela Peretti, Eduardo Romero, Carlos Marqués

“…We adopt a PSoC device from Cypress for the node implementation. The performance evaluation of the scheme presented is made by adopting four different types of fault models in the amplifier gains. …”
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Assessment of the application of each multibeam echosounder data product for monitoring of Laminaria digitata in the UK by Jacob Berry, Cassandra Nanlal

“…A high resolution multibeam echosounder (MBES) survey was performed to acquire depths, backscatter and water column data in an area known to have kelp. An evaluation of different combinations of the MBES data products for kelp forest monitoring was carried out. …”
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A deep learning-based hybrid method for PM2.5 prediction in central and western China by Zuhan Liu, Zihai Fang, Yuanhao Hu

“…Furthermore, the model demonstrates stable performance across different cities and various periods. This study offers a robust approach to improving the accuracy and reliability of PM2.5 forecasting.…”
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TCN-GRU Based on Attention Mechanism for Solar Irradiance Prediction by Zhi Rao, Zaimin Yang, Xiongping Yang, Jiaming Li, Wenchuan Meng, Zhichu Wei

“…The results show that, compared to the second-ranked algorithm, the proposed model improves the evaluation metrics of mean absolute error, mean absolute percentage error, and root mean square error by 24.4%, 33.33%, and 24.3%, respectively.…”
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Multi-core helper thread prefetching for irregular data intensive applications by Jian-xun ZHANG, Zhi-min GU, Xiao-han HU, Min CAI

“…Betweenness centrality algorithm was used as a case study, the multi-parameter prefetching model of helper thread and optimized instances were presented and evaluated on commercial CMP platforms Q6600 and I7, the average speedup of betweenness centrality algorithm at different input scale is 1.20 and 1.11 respectively. …”
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Decoupled Model-Free Adaptive Control with Prediction Features Experimentally Applied to a Three-Tank System Following Time-Varying Trajectories by Soheil Salighe, Nehal Trivedi, Fateme Bakhshande, Dirk Söffker

“…In this paper, the performance of three model-free control approaches on a multi-input, multi-output (MIMO) nonlinear system with constant and time-varying references is compared. The first control algorithm is model-free adaptive control (MFAC). The second is a modified version of MFAC (MMFAC) designed to handle delays in the system by incorporating the output error difference (over two sample time steps) in the control input. …”
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Brain tumor detection through image fusion using whale optimization and edge preserving filter by Bhattiprolu Nagasirisha, Venkatesh Munagala, Ramakrishna Reddy Eamani, Mocherla Venkata Srikanth, Asileti Suneel Kumar, Varre Venkata Kanaka Durga Prasad

“…While the detail layers are fused based on maximum energy assessed using the Krisch compass operator, the base layers are fused based on the whale optimization method,  for which the objective function is maximization of entropy, edge strength and pixel intensity. Thirty different kinds of slices of five medical datasets from diverse sources were used to assess the effectiveness of the proposed algorithm both visually and statistically compared to existing approaches. …”
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Bio-Inspired Hyperparameter Tuning of Federated Learning for Student Activity Recognition in Online Exam Environment by Ramu Shankarappa, Nandini Prasad, Ram Mohana Reddy Guddeti, Biju R. Mohan

“…The proposed PSOGA not only outperforms the proposed PSOEGA but also outperforms the benchmark algorithms considered for performance evaluation by giving an accuracy of 95.97%.…”
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Bi-Objective Optimization of Techno-Economic and Environmental Performance for Membrane-Based CO₂ Capture via Single-Stage Membrane Separation by Nobuo Hara, Satoshi Taniguchi, Takehiro Yamaki, Thuy T. H. Nguyen, Sho Kataoka

“…Bi-objective optimization was performed using an original algorithm that combines the adaptive design of experiments, machine learning, a genetic algorithm, and Bayesian optimization. …”
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A Dynamical Slot Assignment Method for Wireless Sensor Networks Based on Hopfield Network by Qi Yang, Xiao Lin, Yuxiang Zhuang, Xuemin Hong

“…The key advantage of the proposed algorithm is to increase the convergence probability under different traffic loads. …”
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Chaotic Mountain Gazelle Optimizer Improved by Multiple Oppositional-Based Learning Variants for Theoretical Thermal Design Optimization of Heat Exchangers Using Nanofluids by Oguz Emrah Turgut, Mustafa Asker, Hayrullah Bilgeran Yesiloz, Hadi Genceli, Mohammad AL-Rawi

“…The efficiency of the proposed algorithm is evaluated using the challenging benchmark functions from various CEC competitions. …”
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Optimization of Arrangements of Heat-Storage Bricks in a Regenerative Combustion System by Tree Search by Tsai-Jung Chen, Ying-Ji Hong, Sheng-Chuan Chung, Chern-Shuh Wang

“…When there are several different types of heat-storage ceramic bricks (checkers) that can be arranged in a regenerative combustion system, one must find an optimal arrangement (with the highest long-term Waste Heat Recovery Ratio) of these checkers, possibly of different types, in this regenerative combustion system. …”
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Characterizing Heterogeneity within Head and Neck Lesions Using Cluster Analysis of Multi-Parametric MRI Data. by Marco Borri, Maria A Schmidt, Ceri Powell, Dow-Mu Koh, Angela M Riddell, Mike Partridge, Shreerang A Bhide, Christopher M Nutting, Kevin J Harrington, Katie L Newbold, Martin O Leach

“…<h4>Purpose</h4>To describe a methodology, based on cluster analysis, to partition multi-parametric functional imaging data into groups (or clusters) of similar functional characteristics, with the aim of characterizing functional heterogeneity within head and neck tumour volumes. To evaluate the performance of the proposed approach on a set of longitudinal MRI data, analysing the evolution of the obtained sub-sets with treatment.…”
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Strengths and limitations of period estimation methods for circadian data. by Tomasz Zielinski, Anne M Moore, Eilidh Troup, Karen J Halliday, Andrew J Millar

“…A key step in the analysis of circadian data is to make an accurate estimate of the underlying period. There are many different techniques and algorithms for determining period, all with different assumptions and with differing levels of complexity. …”
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NUTRI-ONCOCARE: New integral nutrition care model to prevent and treat malnutrition in cancer patients by Mariola Sirvent-Ochando, Ana Murcia-Lopez, Cristina Sangrador-Pelluz, Sara Espla, Margarita Garrido-Siles, Jimena Abiles

“…Their discussion and analysis allowed us to design a performance algorithm.</p><p><strong>Results:</strong> The algorithm differentiates two groups of patients according to the location of the tumor and its impact on nutritional status: high-risk tumors (group 1) include cancers of the head and neck, upper digestive tract and colorectal and low-risk tumors (group 2) include the rest of the neoplasms. …”
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