Internet of medical things and trending converged technologies: A comprehensive review on real-time applications by Shiraz Ali Wagan, Jahwan Koo, Isma Farah Siddiqui, Muhammad Attique, Dong Ryeol Shin, Nawab Muhammad Faseeh Qureshi

“…This review study discusses how we may apply the convergence of IoMT devices with trending technologies and focuses on delivering a new dimension of novel IoMT usage through broad multi-homing dense networks. It also discusses various applied machine learning algorithms available in the healthcare industry. …”
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Deep Learning-Based Economic Forecasting for the New Energy Vehicle Industry by Bowen Cai

“…Soon, new energy vehicles will be the mainstream trend, which can not only reduce the burden of consumers due to rising fuel prices but also solve the air pollution problem caused by the exhaust emissions of fuel vehicles. …”
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Bregman–Hausdorff Divergence: Strengthening the Connections Between Computational Geometry and Machine Learning by Tuyen Pham, Hana Dal Poz Kouřimská, Hubert Wagner

“…It outlines the basics of Bregman geometry, and motivated the Kullback–Leibler divergence using concepts from information theory. We also describe computational geometric algorithms that have been extended to this geometry, focusing on algorithms relevant for machine learning.…”
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Comparison of the Finite Volume and Lattice Boltzmann Methods for Solving Natural Convection Heat Transfer Problems inside Cavities and Enclosures by M. Goodarzi, M. R. Safaei, A. Karimipour, K. Hooman, M. Dahari, S. N. Kazi, E. Sadeghinezhad

“…Furthermore, for comparison purpose, the commercially available CFD package FLUENT, which uses finite volume Method (FVM), was also used to simulate the same problem. Different discretization schemes, being the first order upwind, second order upwind, power law, and QUICK, were used with the finite volume solver where the SIMPLE and SIMPLEC algorithms linked the velocity-pressure terms. …”
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EDITORIAL: ARTIFICIAL INTELLIGENCE AND ITS TRANSFORMATIVE IMPACT ON SCIENTIFIC PUBLISHING by Abubakar Munir

“…The detection of plagiarism has also shifted fundamentally with the advent of AI. …”
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AI illuminates paths in oral cancer by Devesh U. Kapoor, Pushpendra Kumar Saini, Narendra Sharma, Ankul Singh, Bhupendra G. Prajapati, Gehan M. Elossaily, Summya Rashid

“…The role of artificial intelligence in prognosis of oral cancer including predictive modeling, identification of prognostic factors and risk stratification also discussed significantly in this review. The review also encompasses the utilization of artificial intelligence such as automated image analysis, computer-aided detection and diagnosis integration of machine learning algorithms for oral cancer diagnosis and treatment. …”
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Resolving Covid-19 with Blockchain and AI by Suyogita Singh, Satya Bhushan Verma

“…Recent initiatives and use cases developed to tackle the coronavirus pandemic were also presented. A case study using federated intelligence for COVID-19 identification was also provided. …”
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Capturing the songs of mice with an improved detection and classification method for ultrasonic vocalizations (BootSnap). by Reyhaneh Abbasi, Peter Balazs, Maria Adelaide Marconi, Doris Nicolakis, Sarah M Zala, Dustin J Penn

“…A-MUD and USVSEG outperformed the other methods in terms of true positive rates using default and adjusted settings, respectively, and A-MUD outperformed USVSEG when false detection rates were also considered. For automating the classification of USVs, we developed BootSnap for supervised classification, which combines bootstrapping on Gammatone Spectrograms and Convolutional Neural Networks algorithms with Snapshot ensemble learning. …”
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CONCERNING CORRELATION BETWEEN METHODOLOGY AND TECHNOLOGY IN PEDAGOGICAL RESEARCH by Vladimir I. Zagvyazinsky

“…The present article is also devoted to this problem.Methods. The methods of the analysis, synthesis, idealisation, generalisation of author’s experience, a concrete definition and modelling are used.Results and scientific novelty. …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…The false comments accompanying online shopping not only infringe the rights and interests of consumers, but also pose a threat to the healthy development of e-commerce. …”
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Messy Data in Education: Enhancing Data Science Literacy Through Real-World Datasets in a Master’s Program by Iraklis Varlamis

“…Through these assignments, students are tasked with not only applying algorithmic tools but also addressing challenges like missing information, noisy inputs, and inconsistencies. …”
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Workload Forecasting Methods in Cloud Environments: An Overview by Samah Aziz, Manar Kashmoola

“…We also discuss difficulties and unresolved research questions in the area of workload forecasting for cloud settings. …”
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Conjugate gradient neural network in prediction of clay behavior and parameters sensitivities by Hamed Memarian fard

“…Also, the sensitivity of intended parameters is investigated.…”
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A versatile framework for attitude tuning of beamlines at light source facilities by Peng-Cheng Li, Xiao-Xue Bi, Zhen Zhang, Xiao-Bao Deng, Chun Li, Li-Wen Wang, Gong-Fa Liu, Yi Zhang, Ai-Yu Zhou, Yu Liu

“…It supports flexible input/output ports, easy integration of diverse evaluation functions and free selection of optimization algorithms. With the help of Mamba's infrastructure, machine learning (ML) and artificial intelligence (AI) technologies can also be readily integrated. …”
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Modeling of information-analytical support for the timber industry complex by Poluektov Alexander, Skvortsova Tatiana, Anikeev Evgeny, Yagodkin Alexander

“…The resource allocation problem is also formulated and the solution of the problem is mathematically justified. …”
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Navigating the Digital Maze: A Review of AI Bias, Social Media, and Mental Health in Generation Z by Jane Pei-Chen Chang, Szu-Wei Cheng, Steve Ming-Jang Chang, Kuan-Pin Su

“…The rapid adoption of artificial intelligence (AI) within social media platforms has fundamentally transformed the way Generation Z interacts with and navigates the digital landscape. While AI-driven algorithms enhance user experience through content personalization, they can also reinforce biases that affect the mental health and overall well-being of young individuals. …”
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Pseudo-ring tests resolution for dynamic single faults in word-oriented memory by S. S. Gritcov, G. F. Sorokin, T. V. Shestacova

“…Such dynamic faults as dRDF, dDRDF and dIRF are considered in detail. Also, pseudo-ring testing and the principles of single dynamic faults detecting by pseudo-ring tests are considered. …”
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Machine Learning Applications in Road Pavement Management: A Review, Challenges and Future Directions by Tiago Tamagusko, Matheus Gomes Correia, Adelino Ferreira

“…This review examines the integration of Machine Learning (ML) into Pavement Management Systems (PMS), presenting an analysis of state-of-the-art ML techniques, algorithms, and challenges for application in the field. …”
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A new method for weighted ensemble clustering and coupled ensemble selection by Arko Banerjee, Arun K. Pujari, Chhabi Rani Panigrahi, Bibudhendu Pati, Suvendu Chandan Nayak, Tien-Hsiung Weng

“…Using the proposed measure of merit, we devise a polynomial heuristics that judiciously selects a subset of clusterings from the ensemble that contribute positively in forming the consensus. We also empirically show that consensus achieved by our proposed method performs better in terms of quality compared to well-known clustering ensemble algorithms on different benchmark datasets.…”
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Towards Fast Implementation of Complex RNS Components on FPGAs by Sabbagh Molahosseini Amir, Alsadat Emrani Azadeh

“…The residue number system (RNS) with its inherent parallelism can also be used to enhance the performance of implementation of comput-ing algorithms on FPGAs. …”
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