Classification of tomato leaf disease using Transductive Long Short-Term Memory with an attention mechanism by Aarthi Chelladurai, D.P. Manoj Kumar, S. S. Askar, Mohamed Abouhawwash, Mohamed Abouhawwash

“…The T-LSTM is based on the transductive learning approach and the scaled dot product attention evaluates the weights of each step based on the hidden state and image patches which helps in effective classification. …”
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Research on CNC Machine Tool Spindle Fault Diagnosis Method Based on DRSN–GCE Model by Xiaoxu Li, Jiahao Wang, Jianqiang Wang, Jixuan Wang, Jiaming Chen, Xuelian Yu

“…In the first step, the data are preprocessed by adding different noises with different ratios of signal to noise and different frequencies to the vibration signals. …”
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Roadmap and Reflections on Expanding Equity, Diversity, Inclusion, Indigeneity, and Accessibility in Pharmacology Curricula by Gurnit Kaur, Raveen Christian Joy Rajakumar, Zena Agabani, Michelle Arnot

“…ABSTRACT Nurturing learning systems that are respectful and welcoming to diverse individuals is a step towards improving the experience of all students in pharmacology and toxicology (Pharm‐Tox). …”
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Detection and classification of ChatGPT-generated content using deep transformer models by Mahdi Maktabdar Oghaz, Lakshmi Babu Saheer, Kshipra Dhame, Gayathri Singaram

“…This dataset was then used to train and evaluate a range of machine learning and deep learning models under various training conditions. …”
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Research on a Multi-Dimensional Information Fusion Mechanical Wear Fault-Diagnosis Algorithm Based on Data Regeneration by Qifan Zhou, Bosong Chai, Kunwen Ran, Yingqing Guo, Shan Zhou, Wangyu Wu, Kun Wang, Yao Ni

“…Subsequently, the TTT algorithm becomes a model with weights in the hidden state itself. The gradient step on the self-supervised loss is selected as the update rule, which is trained synchronously during the testing time, adhering to the concept of migration learning, to construct a high-dimensional mapping relationship between the feature parameters and the failure modes of the mechanical wear. …”
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Development of Multiple Representation-Based General Chemistry Textbook Using Guided Inquiry by Ifah Silfianah

“…Analyze stages are carried out in the form of curriculum analysis, concepts, and learning resources. In the design process, textbooks are made following the guided inquiry learning stages and design the media in the form of images that show multiple representations so that an initial draft is produced. …”
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ENGLISH FOR SPECIFIC PURPOSES DESIGN PROCESS: A BRIEF RESEARCH REVIEW by Flory MANDINA MUANA MUNDELE, Albin MAJAMBO KALONDA

“…This article aimed at stating some important steps to consider when we think of English for specific purposes design in educational contexts. …”
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A novel diagnostic and prognostic approach for unresponsive patients with anthroponotic cutaneous leishmaniasis using artificial neural networks. by Mehdi Bamorovat, Iraj Sharifi, Esmat Rashedi, Alireza Shafiian, Fatemeh Sharifi, Ahmad Khosravi, Amirhossein Tahmouresi

“…This attempt could be a preliminary step towards the expansion of ML application in future directions.…”
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Dash: Accelerating Distributed Private Convolutional Neural Network Inference with Arithmetic Garbled Circuits by Jonas Sander, Sebastian Berndt, Ida Bruhns, Thomas Eisenbarth

“… The adoption of machine learning solutions is rapidly increasing across all parts of society. …”
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The pilot application of escape rooms as a method to evaluate basic nursing skills: a qualitative study of student experiences by Xinyi Feng, Chunqing Zhou, Yazhuo Gao, Xiaoqin Ma

“…The primary themes included learning experience and learning feedback, while the sub-themes encompassed a relaxed environment, motivation enhancement, team collaboration fostering a learning community, integration of theory and practice, cultivation of critical thinking skills, improvement of assessment design plans, as well as inclusion of teacher evaluation and review sessions. …”
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Τhe Turkish Nominal Syntagmatic Sets 'Ad tamlaması': A Linguistic Approach in Turkish Second Language Acquisition and Teaching by Vasiliki Mavridou

“…We will show that in the L2 learning process of the 3 NSS-AT forms, we expect a learning step ahead in the analytic N-(n)In N-(s)I(n) form compared to non-analytic compounds such as the N N-(s)I(n) form and more blurred cases such as the N N-(y) form, which shares properties of both Noun Phrases (NPs) and compounds. …”
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Physics-informed neural networks viewpoint for solving the Dyson-Schwinger equations of quantum electrodynamics by Rodrigo Carmo Terin

“…Our novel strategy, which is expected to be extended to other quantum field theories, is the first step towards forefront applications of machine learning in high-level theoretical physics.…”
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« C’est ça le futur des soirées ? » Les musiques électroniques de danse à l’épreuve du livestream et de la COVID-19 by Frédéric Trottier-Pistien

“…Music livestream reached a new step due to lockdown and the cancellation and prohibition of music events worldwide. …”
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Nursing care to the intern child: teachers and students’ experiences and awarness by Eveline Pinheiro Beserra, Ingrid Martins Leite Lúcio, Maria Vera Lúcia Moreira Leitão Cardoso

“…As a starting point we used the data from the student who was the main author of this report’s. field diary, and from which were gathered thoughts of the teacher’s’ point of view. This step was followed by the teaching-learning, procedures of motivational and non-motivational feelings and also by the development of interpersonal relationships between student-teacherpatient, student-family-team and student-student. …”
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Language and literature: some dialogic trodden ways* by Josalba Ramalho Vieira

“…However, as soon he takes his first step a bridge is made visible and concrete under his feet. …”
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Real-Time Pedestrian Tracking and Counting with TLD by Jiawei Shi, Xianmei Wang, Huer Xiao

“…First, background modeling algorithm is applied to actively obtain multipedestrian candidates, followed by a confirmation step with classification. Then each pedestrian patch is handled by real-time TLD (Tracking-Learning-Detection) to get a new predication position according to similarity measure. …”
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PENGEMBANGAN “CERPEN SAKU” SEBAGAI WAHANA BELAJAR BERBASIS WEB PADA MATERI TEKS SASTRA DI SEKOLAH MENENGAH PERTAMA by Alfi Fadhila, Ani Rakhmawati

“…The importance of the Indonesian language is the basis for the enactment of the policy that Indonesian must be applied and learned as a subject at all levels of education. Text-based Indonesian learning is a form of learning that is proclaimed in the Education curriculum in Indonesia. …”
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Diagnosis of parotid gland tumors using a ternary classification model based on ultrasound radiomics by Xiaoling Liu, Weihan Xiao, Chen Yang, Zhihua Wang, Dong Tian, Gang Wang, Xiachuan Qin

“…Feature selection was performed using the Mann–Whitney U test and seven additional selection methods. Two-step LASSO-BNB and voting ensemble learning modeling algorithm with recursive feature elimination feature selection method (RFE-Voting) models were then applied for classification. …”
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Unveiling diabetes onset: Optimized XGBoost with Bayesian optimization for enhanced prediction. by Muhammad Rizwan Khurshid, Sadaf Manzoor, Touseef Sadiq, Lal Hussain, Mohammed Shahbaz Khan, Ashit Kumar Dutta

“…Although the improvements observed in this study are modest, the optimized XGBoost model with Bayesian optimization represents a promising step towards revolutionizing diabetes prevention and treatment. …”
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Enconv1d Model Based on Pseudolite System for Long-Tunnel Positioning by Changgeng Li, Yuting Zhang, Changshui Liu

“…The model employs the encoder module from the Transformer to capture multi-step time constraints while introducing a multi-scale one-dimensional convolutional neural network module (1D CNN) to assist the encoder module in learning spatial features and finally outputs the localization results of the Enconv1d model after the dense layer integration. …”
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