Dual Context Representation Learning Framework for Entity Alignment by Bo Cheng, Jia Zhu, Pasquale De Meo

“…Entity alignment, which aims to identify entities with the same meaning in different Knowledge Graphs (KGs), is a key step in knowledge integration. Despite the promising results achieved by existing methods, they often fail to fully leverage the structure information of KGs for entity alignment. …”
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Predicting Young Imposter Syndrome Using Ensemble Learning by Md. Nafiul Alam Khan, M. Saef Ullah Miah, Md. Shahjalal, Talha Bin Sarwar, Md. Shahariar Rokon

“…For instance, in order to reduce the impact of IS, identifying key factors responsible for IS is an important step. Machine learning methods can be employed to identify the potential sources responsible for IS. …”
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Metallographic Spheroidization Rate Classification by Using Deep Learning by Lin Chiu‐Chin, Pei‐Hsuan Chiang, Ke‐Hao Chen, Yu‐Jen Pan, Chung‐Hsien Chen, Wang Yi‐Shun, Jen‐Chun Lee

“…ABSTRACT In the steel manufacturing process, spheroidizing annealing is a crucial heat treatment step primarily aimed at improving the ductility and machinability of the material. …”
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Unsupervised post-training learning in spiking neural networks by Reyhaneh Naderi, Arash Rezaei, Mahmood Amiri, Herbert Peremans

“…In this traditional approach, the weights and structure of the model remain fixed once the training step concludes. In this research, we aim to modify this traditional approach and hypothesize that adding short-term plasticity (STP) to a trained SNN enables the model to learn post-training without changing synaptic weights. …”
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Robust and Scalable Quantum Repeaters Using Machine Learning by Diego Fuentealba, Jackson Dahn, James Steck, Elizabeth Behrman

“…The standard approach uses entanglement swapping, in which quantum states are teleported from one (short) segment to the next, using at each step a shared entangled pair. This is the job of the repeater. …”
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Architectural Synergies in Bi-Modal and Bi-Contrastive Learning by Yujia Gu, Brian Liu, Tianlong Zhang, Xinye Sha, Shiyong Chen

“…Traditionally, such models have been developed independently, using methods like contrastive learning and image-captioning to boost their analytical and creative outputs. …”
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Effective Dose Estimation in Computed Tomography by Machine Learning by Matteo Ferrante, Paolo De Marco, Osvaldo Rampado, Laura Gianusso, Daniela Origgi

“…Each scan exposes the patient to a radiation dose, and performing a fast estimation of the effective dose (E) is an important step for radiological safety. The aim of this work is to estimate E from patient and CT acquisition parameters in the absence of a dose-tracking software exploiting machine learning. …”
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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…The Tree-based Pipeline Optimization Tool (TPOTclassifier) has been used to choose suitable supervised learning models. In the depression detection step, RF, XGBoost (XGB), Decision Tree (DT), and Gaussian Naive Bayes (GaussianNB) have been used.…”
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On the In Vivo Recognition of Kidney Stones Using Machine Learning by Francisco Lopez-Tiro, Vincent Estrade, Jacques Hubert, Daniel Flores-Araiza, Miguel Gonzalez-Mendoza, Gilberto Ochoa, Christian Daul

“…It also describes the design, implementation, and results of the classifiers (shallow machine learning and deep learning-based methods) of kidney stones. …”
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Ashwat's Teaching Strategies and Their Implications In The Learning of Maharah Istima' by Yuli Imawan, Madah Rahmatan, Irfan Hania, Alimudin Alimudin

“…Using a descriptive-qualitative design, this study reveals three basic steps in ashwat teaching, namely: presentation of pronunciation models, giving exercises/drills, and practicing language use. as for The teaching of language sounds is the most basic activity to develop listening skills. there are five phases of listening learning, including; Phase recognition, initial comprehension, mid-comprehension, advanced comprehension and Assessment/taqwim. there are 13 steps of listening learning related to ashwat teaching, including hearing and saying, listening-writing (dictation), listening-doing, hearing-guessing, expanding sentences, finding objects, whispering chains, completing stories, identifying keywords, identifying topic sentences, abbreviating/summarizing, paraphrases, and answering questions.…”
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The effect of the Zahoric model in learning some kinetic sentences by M. Maison Mohammed Dr. Luma Sameer

“… When teaching or training fencing we find that most learners are able to perform some fencing skills during learning within the lesson, but they find it difficult to perform the same skills when linked in one sentence after a short period or in subsequent lessons, or during practical exams, so I conducted those Study to develop solutions to this problem by investing the Zahoric model and its distinctive educational steps in learning the kinetic sentences in the female blinds, and its impact on the process of learning and linking kinetic sentences in the sport of fencing and make the learning process more effective and economical.   …”
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Coordinating a Collegiate Service-Learning Mentoring Program by Emily Rickerson, Matthew Ohlson, Kate Fogarty, Muthusami Kumaran, Dale Pracht

“…Gator for an institute of higher learning takes a great deal of planning, communication, and leadership. …”
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Coordinating a Collegiate Service-Learning Mentoring Program by Emily Rickerson, Matthew Ohlson, Kate Fogarty, Muthusami Kumaran, Dale Pracht

“…Gator for an institute of higher learning takes a great deal of planning, communication, and leadership. …”
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Coordinating a Collegiate Service-Learning Mentoring Program by Emily Rickerson, Matthew Ohlson, Kate Fogarty, Muthusami Kumaran, Dale Pracht

“…Gator for an institute of higher learning takes a great deal of planning, communication, and leadership. …”
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Optimal Poisson Cognitive System with Markov Learning Model by A. A. Solodov

“…The probabilities calculated in this way are accepted as transition probabilities in the stochastic learning matrix of the system. Thus, the following assumptions are accepted in the work, apparently corresponding to the behavior of the system assuming human reactions, i.e. the cognitive system.The images analyzed by the system arise at random moments of time, while the duration of time between neighboring appearances of images is distributed exponentially.The system analyzes the resulting images and makes a decision about the presence or absence of an image at its input in accordance with the optimal Neуman-Pearson algorithm that maximizes the probability of correct identification of the image with a fixed probability of false identification.The system is trainable in the sense that decisions about the presence or absence of an image are made sequentially on a set of identical situations, and the probability of making a decision depends on the previous decision of the system.The new results of the study are analytical expressions for the probabilities of the system staying in each of the possible states, depending on the number of steps of the learning process and the intensities of useful and interfering stimuli at the input of the system. …”
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Combating Antimicrobial Resistance: Spectroscopy Meets Machine Learning by Dimple Saikia, Ritam Dadhara, Cebajel Tanan, Prajwal Avati, Tushar Verma, Rishikesh Pandey, Surya Pratap Singh

“…One of the major health challenges that humans have been facing for the last few decades is antimicrobial resistance (AMR), where antibiotics stop responding to infections and, thereby, take a considerable amount of time to cure them while increasing mortality rates. There are various steps that have been taken by researchers and organizations to identify, cure, and prevent this urgent issue. …”
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DEVELOPMENT OF BULLETIN LEARNING MEDIA ON THE CONCEPT OF FOSSIL FUEL by Zulfadli Zulfadli, Latifah Hanum, Musfira Arisandi

“…This study aims to develop a bulletin on petroleum material and analyze the feasibility and describe the teacher's response to the bulletin learning media on petroleum material. The research method used is research and development (research and development) with the ADDIE model which consists of five steps, namely analysis, design, development, implementation and evaluation. …”
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Improving learning outcomes through modification of basketball games by Adityo Agustiawan, Novri Asri, M. Al Ghani

“…The research method used is action research which consists of four steps: 1) planning, 2) implementation, 3) observation, and 4) reflection. …”
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Virtual Learning Environments from localization point of view by Valentina Dagienė, Tatjana Jevsikova

“… For better learning achievements in a networked society the great variety of virtual learning environments (VLE) is being developed and used. …”
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Weighted Classification of Machine Learning to Recognize Human Activities by Guorong Wu, Zichen Liu, Xuhui Chen

“…Human pose plays an important role in extracted features; then these features are used as the weight input with classifier. We use machine learning during two steps of training and testing images of standard dataset that can be used during benchmarking the system. …”
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