Comparative Analysis of Deep Learning Models for Stock Price Prediction in the Indian Market by Moumita Barua, Teerath Kumar, Kislay Raj, Arunabha M. Roy

“…This research presents a comparative analysis of various deep learning models—including Recurrent Neural Networks (RNN), Long Short-Term Memory (LSTM), Convolutional Neural Networks (CNN), Gated Recurrent Units (GRU), and Attention LSTM—in predicting stock prices of major companies in the Indian stock market, specifically HDFC, TCS, ICICI, Reliance, and Nifty. …”
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Deep learning for enhancement of low-resolution and noisy scanning probe microscopy images by Samuel Gelman, Irit Rosenhek-Goldian, Nir Kampf, Marek Patočka, Maricarmen Rios, Marcos Penedo, Georg Fantner, Amir Beker, Sidney R. Cohen, Ido Azuri

“…The deep learning models outperform the traditional methods and yield better results. …”
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Process‐Based Machine Learning Observationally Constrains Future Regional Warming Projections by Sophie Wilkinson, Peer Nowack, Manoj Joshi

“…Abstract We present the results of a novel process‐based machine learning method to constrain climate model uncertainty in future regional temperature projections. …”
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Classification of suicidal ideation severity from Twitter messages using machine learning by Pantaporn Benjachairat, Twittie Senivongse, Nattasuda Taephant, Jiratchaya Puvapaisankit, Chonlakorn Maturosjamnan, Thanakorn Kultananawat

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The Integration of Mobile Learning in Teaching English for Law Enforcement. A Case Study by Cristina PIELMUȘ

“…Against this backdrop, the present paper starts with a literature review of concepts such as mobile learning and MALL (mobile assisted language learning) and then shifts focus to the context of teaching English for Law Enforcement, while attempting to briefly investigate how mobile devices can be employed in such an environment, what advantages and disadvantages the use of mobile devices can bring along in language education, as well as to what extent these gadgets can enhance the students’ learning autonomy. …”
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Investigating EFL Undergraduates’ Vocabulary Learning Strategies (VLSs) at a University in Syria by Maisaa Moustafa Daaboulis, Vahid Nimehchisalem, Mustafa Mahdi Jubier

“…Therefore, the present study aims to investigate the use of Vocabulary Learning Strategies (VLSs) among 100 randomly selected EFL Syrian first-year undergraduates in a university in Syria. …”
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Exploring the Context of Converged Learning: A Case Study in a Polytechnic University by James Lipuma, Cristo Leon

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A Comprehensive Review and Benchmarking of Fairness-Aware Variants of Machine Learning Models by George Raftopoulos, Nikos Fazakis, Gregory Davrazos, Sotiris Kotsiantis

“…Beyond these, an increasingly explored avenue is the direct modification of existing algorithms, aiming to embed fairness constraints into their design while preserving or even enhancing predictive performance. This paper presents a comprehensive survey of classical machine learning models that have been modified or enhanced to improve fairness concerning sensitive attributes (e.g., gender, race). …”
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Low‐power hybrid memristor‐CMOS spiking neuromorphic STDP learning system by Gabriel Maranhão, Janaina Gonçalves Guimarães

“…Finally, communication between neurons and synapses with STDP learning has been successfully simulated.…”
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Improving Students’ Speaking Skill through the Picture and Picture Cooperative Learning Model by Edwin Tang Yiu, Patrick Chou

“…The present research is conducted in an elementary school in Tan Shan city, Hong Kong, at the academic year of 2020-2021, on 40 students consisting of 16 boys and 24 girls. …”
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Investigating EFL Undergraduates’ Vocabulary Learning Strategies (VLSs) at a University in Syria by Maisaa Moustafa Daaboulis, Vahid Nimehchisalem, Mustafa Mahdi Jubier

“…Therefore, the present study aims to investigate the use of Vocabulary Learning Strategies (VLSs) among 100 randomly selected EFL Syrian first-year undergraduates in a university in Syria. …”
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A machine learning computational approach for the mathematical anthrax disease system in animals. by Zulqurnain Sabir, Eman Simbawa

“…<h4>Objectives</h4>The current research investigations present the numerical solutions of the anthrax disease system in animals by designing a machine learning stochastic procedure. …”
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The Implementation of Machine Learning in Lithofacies Classification using Multi Well Logs Data by Sudarmaji Saroji*, Ekrar Winata, Putra Pratama Wahyu Hidayat, Suryo Prakoso, Firman Herdiansyah

“…Usually, the classification is processed manually by an experienced geoscientist. This research presents an automated lithofacies classification using a machine learning method to increase computational power in shortening the lithofacies classification process's time consumption. …”
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Reinforcement Learning-Based Collision Avoidance Guidance Algorithm for Fixed-Wing UAVs by Yu Zhao, Jifeng Guo, Chengchao Bai, Hongxing Zheng

“…A deep reinforcement learning-based computational guidance method is presented, which is used to identify and resolve the problem of collision avoidance for a variable number of fixed-wing UAVs in limited airspace. …”
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Assuring quality of teaching and learning in post-conflict higher education: The Case of Somalia by Abukar Mukhtar Omar, Mohamed Ali Osman, Abdirahman Ibrahim Abdi

“…This study examines the factors that contribute to ensuring the quality of teaching and learning in post-conflict higher education in Somalia (1991–present). …”
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Introduction to the special issue on ability beliefs and learning a new language at school by W. L. Quint Oga-Baldwin, Luke K. Fryer

“…This editorial introduces a special issue examining ability beliefs in language learning psychology. The issue presents diverse theoretical perspectives on how learners’ perceptions of their abilities affect language acquisition outcomes. …”
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Investigating EFL Undergraduates’ Vocabulary Learning Strategies (VLSs) at a University in Syria by Maisaa Moustafa Daaboulis, Vahid Nimehchisalem, Mustafa Mahdi Jubier

“…Therefore, the present study aims to investigate the use of Vocabulary Learning Strategies (VLSs) among 100 randomly selected EFL Syrian first-year undergraduates in a university in Syria. …”
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He Awa Whiria: Braiding Social and Emotional Learning with Bicultural and Intentional Teaching by Julie Houghton-Katipa

“…Drawing from a larger research study, this article presents an overview of existing key research and suggests a potential way forward for kaiako to intentionally support social and emotional learning through drawing on the richness of the Māori language, culture and traditions, realising the bicultural aspirations of Te Whāriki (Ministry of Education, 2017). …”
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The next generation of policy-driven language testing systems: accountability, consequences, and learning by Micheline Chalhoub-Deville

“…The authors in this issue investigate the alignment between reform-driven mandates and their testing systems in terms of learning, practices, and the impact on students, educators, and education. …”
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Predicting failures in fiber optic information transmission systems with support of machine learning by Nafisa Juraeva, Dilmurod Davronbekov, Ulugbek Turdiev

“…Approaches used in machine learning are presented, such as neural networks, classification and regression algorithms, their application in the analysis and optimization of FOITS, such as neural networks, support vector machines, classification and regression algorithms, their application in the analysis and optimization of fiber optic systems. …”
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