An Ensemble Fuzzy-Based Deep Learning Framework for Automatic Detection of Children with ADHD From EEG Signal by Jalil Manafian, Mehdi Fazli, Onur Ilhan, Subhiya Zeynalli, Sukaina Tuama Ghafel

“…When confronted with samples yielding multiple predictions, we initiate the process by computing four distinct distance metrics - Euclidean, Hamming, Manhattan, and Cosine - for every group relative to their best possible solutions. …”
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Grid Integration of PV Systems With Advanced Control and Machine Learning Strategies by Venkata Reddy Kota, Bapayya Naidu Kommula, Asif Afzal, Mohammad Asif, Liew Tze Hui

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Extensive Feature-Inferring Deep Network for Hyperspectral and Multispectral Image Fusion by Abdolraheem Khader, Jingxiang Yang, Sara Abdelwahab Ghorashi, Ali Ahmed, Zeinab Dehghan, Liang Xiao

“…The mathematical solutions class has serious challenges, e.g., computation cost, manually tuning parameters, and the absence of imaging models that laboriously affect the fusion process. …”
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MapReduce based big data framework using associative Kruskal poly Kernel classifier for diabetic disease prediction by R. Ramani, S. Edwin Raja, D. Dhinakaran, S. Jagan, G. Prabaharan

“…These facts are established due to the reason that big data field has received considerable attention from both the industrial experts and academicians. The computation process must be accelerated to achieve early disease prediction in order to accomplish the prospects of ML for big data applications. …”
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From Sound to Movement: Mapping the Neural Mechanisms of Auditory–Motor Entrainment and Synchronization by Marija Pranjić, Thenille Braun Janzen, Nikolina Vukšić, Michael Thaut

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Geo-Intelligence for Resilient Land-use Planning by John Kiema

“… Geo-Intelligence integrates geospatial technologies such as satellite imagery, remote sensing, Geographic Information Systems (GIS), and Artificial Intelligence (AI) to gather, process, and analyze spatial data for decision-making. …”
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A Multilevel Multimodal Hybrid Mamba-Large Strip Convolution Network for Remote Sensing Semantic Segmentation by Lingyu Yan, Qingyang Feng, Jing Wang, Jinshan Cao, Xiaoxiao Feng, Xing Tang

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Ethical dilemmas and the reconstruction of subjectivity in digital mourning in the age of AI: an empirical study on the acceptance intentions of bereaved family members of cancer p... by Kun Fu, Chenxi Ye, Zeyu Wang, Miaohui Wu, Zhen Liu, Yuan Yuan

“…IntroductionWith the rapid advancement of AI replication, virtual memorials, and affective computing technologies, digital mourning has emerged as a prevalent mode of psychological reconstruction for families coping with the loss of terminally ill patients. …”
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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

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Ensemble Machine Learning Model for Classification of Spam Product Reviews by Muhammad Fayaz, Atif Khan, Javid Ur Rahman, Abdullah Alharbi, M. Irfan Uddin, Bader Alouffi

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Transfer learning for predicting of gross domestic product growth based on remittance inflows using RNN-LSTM hybrid model: a case study of The Gambia by Haruna Jallow, Ronald Waweru Mwangi, Alieu Gibba, Herbert Imboga

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HELA-CMM: capability maturity model for adoption of learning analytics in higher education by Diana Šimić, Nina Begičević Ređep, Sabina Rako, Nikola Kadoić, Wim Van Petegem, Bart Rienties, Nati Cabrera Lanzo, Michael Eichhorn, Lourdes Guàrdia, Sandra Kučina Softić, Alexander Tillmann

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WSNetDefender: Securing Wireless Sensor Networks Using BBIDNet and Fuzzy-DQN Threat Mitigation System (FD-TMS) by Mohammed A. Aleisa

“…As a consequence, there are noteworthy results from the implementation process in a variety of metrics, including F1-score, FPR, precision, FNR, NPV, MCC, accuracy, sensitivity, and specificity. …”
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A novel approach for energy- and memory-efficient data loss prevention to support Internet of Things networks by Pooya Hejazi, Gianluigi Ferrari

“…Internet of Things integrates various technologies, including wireless sensor networks, edge computing, and cloud computing, to support a wide range of applications such as environmental monitoring and disaster surveillance. …”
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Financial fraud detection using a hybrid deep belief network and quantum optimization approach by Gui Yu, Zhenlin Luo

“…The hybrid model utilises the parallel processing power of quantum computing to improve the training efficiency of DBNs, while CNNs, LSTMs and GNNs extract features from multiple dimensions of financial market data. …”
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Forecasting the volatility of Financial Time Series by Tree Ensembles by O. S. Vidmant

“…The proposed method allows to reduce the cost of computing power and time for data processing in the analysis of short-term positions in the financial markets and to identify risks with a certain level of confidence probability.…”
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On Estimates of Functions in Norms of Weighted Spaces in the Neighborhoods of Singularity Points by Viktor A. Rukavishnikov, Elena I. Rukavishnikova

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Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

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A Social Robot, “Dali,” for Aging in Place Technology by Dugan Um, Jangwoon Park, Jeongsik Shin, Woo Ho Lee

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A hybrid deep learning-based intrusion detection system for EV and UAV charging stations by Rosebell Paul, Mercy Paul Selvan

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