A Comparative study of the Envisaged and Definite Stock Prices of BSE SMEs Using RNN during the COVID-19 Pandemic by S. Kaur, A. Munde, A. K. Goyal

“…The stock market is unstable, but the use of machine learning algorithms allows to predict its future dynamics before spending. …”
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High-Speed 3D Vision Based on Structured Light Methods by Leo Miyashita, Satoshi Tabata, Masatoshi Ishikawa

“…High-speed 3D measurement has great applicability not only for accurately recognizing a moving and deforming target but also for enabling real-time feedback, such as manipulation of the dynamic targets based on the measurement. …”
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New online in-air signature recognition dataset and embodied cognition inspired feature selection by Yuheng Guo, Yuhan Zhou, Yifan Ge, Junwei Yu, Gen Li, Hiroyuki Sato

“…Our methodology includes a thorough statistical analysis with domain descriptors and DTW algorithms, alongside a comparative evaluation of seven deep-learning models on both the MIAS-427 and smartwatch datasets. …”
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An Efficient Deep Learning-Based Framework for Predicting Cyber Violence in Social Networks by Younes Fayand Fathabad, Mohammad Ali Balafar, Amin Golzari Oskouei, Kamal Koohi

“…The widespread use of the internet has led to the rapid expansion of social networks, making it easier for individuals to share content online. However, this has also increased the prevalence of cyber violence, necessitating the development of automated detection methods. …”
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Classifying the Clarity of Questions in CQA Networks: A Topic based Approach by Alireza Khabbazan, Ahmad Ali Abin

“…To extract these features, the word vector of each question was created, and then using unsupervised algorithms, the questions with similar word vectors were placed in the same group. …”
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Transformer and Convolutional Neural Network: A Hybrid Model for Multimodal Data in Multiclass Classification of Alzheimer’s Disease by Abdulaziz Alorf

“…The proposed method was also compared to benchmark algorithms and outperformed them; it was substantially less computationally expensive while maintaining its accuracy.…”
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A review of ultrasound monitoring applications in agriculture by Muhammad Awais Sattar, Dina Shona Laila

“…Finally, the review also discusses the current limitations and future research directions of how ultrasound-based monitoring can catalyse a new paradigm of sustainable data-driven agriculture that meets food security needs.…”
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Developing a comprehensive BACnet attack dataset: A step towards improved cybersecurity in building automation systemsKaggle by Seyed Amirhossein Moosavi, Mojtaba Asgari, Seyed Reza Kamel

“…With the development of smart buildings, the risks of cyber-attacks against them have also increased. One of the popular and evolving protocols used for communication between devices in smart buildings, especially HVAC systems, is the BACnet protocol. …”
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Preimage and collision attacks on reduced Ascon using algebraic strategies by Qinggan Fu, Ye Luo, Qianqian Yang, Ling Song

“…Abstract Ascon, a family of algorithms that supports hashing and authenticated encryption, is the winner of the NIST Lightweight Cryptography Project. …”
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RATIONAL COMPROMISE SEARCHING METHOD IN ONE CLASS OF MULTIOBJECTIVE OPTIMIZATION PROBLEM IN EVALUATION OF INDETERMINATE OBJECTIVES SET BY THE FUNCTIONS OF ONE VARIABLE by Oleh V. Borovyk, Liudmyla V. Borovyk, Mykola V. Krasovsky

“…Formally, the problems of indeterminate forms evaluation in the system analysis and the operations research theory are largely similar. However, there are also fundamental differences that lie in the following. …”
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Introducing a Deep Neural Network Model with Practical Implementation for Polyp Detection in Colonoscopy Videos by Hajar Keshavarz, Zohreh Ansari, Hossein Abootalebian, Babak Sabet, Mohammadreza Momenzadeh

“…The application of deep-learning algorithms in colonoscopy can be divided into four main categories: surgical image analysis, surgical operations analysis, evaluation of surgical skills, and surgical automation. …”
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Predicting software reuse using machine learning techniques-A case study on open-source Java software systems. by Matthew Yit Hang Yeow, Chun Yong Chong, Mei Kuan Lim, Yuen Yee Yen

“…This paper proposes automating software reuse prediction by leveraging machine learning (ML) algorithms, enabling future research and practitioners to better identify highly reusable software. …”
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Reduced O3 subsequence labelling: a stepping stone towards optimisation sequence prediction by Yi-Ping You, Yi-Chiao Su

“…We formulated the problem and attempted to solve the problem by using genetic algorithms. We believe that with mature deep learning techniques, a machine learning model that predicts the reduced O3 subsequences or even the best O3 subsequence for a given code fragment could be developed and used to prune the search space of the problem of the optimisation phase tuning, thereby shortening the tuning process and also providing more effective tuning results.…”
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GenAI and effective reading among university students: Prospects, challenges, and future directions by George Matto, Jaffar Msafiri Ponera, Valeria Kyumana

“…The system can also lead to breach of data privacy and it is resources intensive.  …”
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Performance Analysis of Eye Movement Event Detection Neural Network Models with Different Feature Combinations by Birtukan Adamu Birawo, Pawel Kasprowski

“…Deep learning approaches have recently demonstrated superior performance across various fields, so researchers have also used them to identify eye movement events. In this study, a combination of two-dimensional convolutional neural networks (2D-CNN) and long short-term memory (LSTM) layers is proposed to simultaneously classify input data into fixations, saccades, post-saccadic oscillations (PSOs), and smooth pursuits (SPs). …”
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Attachment beyond the screen: The influences of demographic factors and parasocial relationships on social media use in Qatar. by Ruining Jin, Tam-Tri Le

“…<h4>Methods</h4>Secondary data from 574 participants in Qatar who followed Instagram influencers were analyzed using Bayesian analyses aided by Markov Chain Monte Carlo (MCMC) algorithms to examine the relationships between social media usage time, PSRs, and demographic factors.…”
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Advances in Automated Voice Pathology Detection: A Comprehensive Review of Speech Signal Analysis Techniques by Anitha Sankaran, Lakshmi Sutha Kumar

“…The Mel frequency cepstral coeffecients features were extracted and fed to four different machine learning algorithms. The speech signals are also fed to a deep network, a 2D-Convoultional Neural Network-Long Short Term Memory model and a comparative analysis of the performance metrics is performed.…”
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Application of Artificial Intelligence in Prosthodontics in the 21st century by Lavanya V, Keerthivasan MS, Venkatakrishnan CJ, Tamizhesai BV, Anandh V

“…AI tools can also assess occlusion guide shade matching and enhance the casting process reducing manual errors. …”
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Application of blade element momentum theory with guaranteed convergence to analyze a straight-blade horizontal axis wind turbine by Dang Huy Le, The Bao Nguyen, Van Minh Ngo

“…A well-validated CFD model was also performed to evaluate the reliability of the calculation method. …”
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Human-machine collaboration: Ordering mechanism of rank-2 spin liquid on breathing pyrochlore lattice by Nicolas Sadoune, Ke Liu, Han Yan, Ludovic D. C. Jaubert, Nic Shannon, Lode Pollet

“…Machine-learning algorithms thrive on large data sets of good quality. …”
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