Remaining Useful Life Prediction Techniques of Electric Valves for Nuclear Power Plants with Convolution Kernel and LSTM by Hang Wang, Min-jun Peng, Yong-kuo Liu, Shi-wen Liu, Ren-yi Xu, Hanan Saeed

“…Experiments show that the proposed method could predict RUL more accurately compared to other typical machine learning and deep learning methods. This will further enhance maintenance efficiency of any plant.…”
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Avances en el aprovechamiento de biopolímeros y productos peruanos by Erika Del Milagro Lozano-Flores

“…Asimismo, el análisis de palabras clave destaca la relevancia de técnicas como "machine learning", "deep learning" y "neural networks". Los mapas de colaboración reflejan que Estados Unidos y China son líderes en producción y coautoría. …”
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Senior Schoolchildren’s Mentorship: the Case of St. Joseph’s School by Lijana Gvaldaitė, Roberta Budreckaitė, Donalda Bučinskienė

“…Joseph’s school as part of the project “Optimization of the network of higher schools and improvement of the quality of studies by connecting Šiauliai University to Vilnius University“.A mentorship model was developed and implemented in the school, followed by senior schoolchildren assisting primary school pupils with learning difficulties. Mentoring activities were evaluated by the research consisting of a questionnaire, a focus group method, as well as notes recording experiences. …”
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Secured Wireless Network Based on a Novel Dual Integrated Neural Network Architecture by H. V. Ramachandra, Pundalik Chavan, S. Supreeth, H. C. Ramaprasad, K. Chatrapathy, G. Balaraju, S. Rohith, H. S. Mohan

“…DINN is designed for any presence of deep learning-based attack in a physical security layer. …”
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MultiChem: predicting chemical properties using multi-view graph attention network by Heesang Moon, Mina Rho

“…Recent advances in deep learning approaches have offered deeper insights into molecular structures. …”
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THE USE OF GAMIFICATION IN THE PREVENTION OF DYSLEXIA OF CHILDREN IN PRESCHOOL AGE by Hanna Mytsyk, Alona Babichenko

“…An algorithm for creating a game mechanism, criteria for selecting digital learning platforms, and developing games based on them are proposed. …”
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A data-consistent model of the last glaciation in the Alps achieved with physics-driven AI by Tancrède P. M. Leger, Guillaume Jouvet, Sarah Kamleitner, Jürgen Mey, Frédéric Herman, Brandon D. Finley, Susan Ivy-Ochs, Andreas Vieli, Andreas Henz, Samuel U. Nussbaumer

“…We tackle this issue by applying the Instructed Glacier Model, a three-dimensional model enhanced with physics-informed machine learning. This approach allows us to produce 100 Alps-wide and 17 thousand-year-long simulations at 300 m resolution. …”
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AI Methods for Antimicrobial Peptides: Progress and Challenges by Carlos A. Brizuela, Gary Liu, Jonathan M. Stokes, Cesar de laFuente‐Nunez

“…However, the high cost of extensive wet‐lab screening has made AI methods for identifying and designing AMPs increasingly important, with machine learning (ML) techniques playing a crucial role. AI approaches have recently revolutionised this field by accelerating the discovery of new peptides with anti‐infective activity, particularly in preclinical mouse models. …”
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Enhancing Orthopedic Surgery and Treatment Using Artificial Intelligence and Its Application in Health and Dietary Welfare by D. Rubidha Devi, S. K. UmaMaheswaran, Sandhya Tarar, Abu Sarwar Zamani, Durgaprasad Gangodkar, A. Prabhu Chakkaravarthy, IssahAbubakari Samori

“…The current decade has seen an increased usage of high-end digital technologies like machine learning in the field of health care services which enable in supporting and performing different functions with less or no human interventions. …”
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Alterations of Amino Acids and Monoamine Metabolism in Male Fmr1 Knockout Mice: A Putative Animal Model of the Human Fragile X Mental Retardation Syndrome by Michael Gruss, Katharina Braun

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Stress and Memory: Behavioral Effects and Neurobiological Mechanisms by Carmen Sandi, M. Teresa Pinelo-Nava

“…Stress is a potent modulator of learning and memory processes. Although there have been a few attempts in the literature to explain the diversity of effects (including facilitating, impairing, and lack of effects) described for the impact of stress on memory function according to single classification criterion, they have proved insufficient to explain the whole complexity of effects. …”
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Optimization of an Intelligent Sorting and Recycling System for Solid Waste Based on Image Recognition Technology by Haitao Chen

“…However, the actual situation is intricate and often the result is not obtained as envisioned, and the use of migration learning can be a good way to improve the overfitting phenomenon. …”
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Optimalisasi Hyper Parameter Convolutional Neural Networks Menggunakan Ant Colony Optimization by Fian Yulio Santoso, Eko Sediyono, Hindriyanto Dwi Purnomo

“…Salah satu metode tersebut menggabungkan convolutional neural networks (CNN) dengan deep learning, tetapi hyperparameter, seperti fungsi loss, fungsi aktivasi, dan optimizers, memengaruhi kinerjanya. …”
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Internal Economic Management and Performance Evaluation Method of Enterprise Based on Balanced Scorecard by Shuangshuang Liu

“…The internal operation level of the enterprise is at a high level. The level of learning and growth performance of the business is very good. …”
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Research on the evaluation method of cooperative jamming effectiveness based on IPSO-ELM by A. Tianjian Yang, B. Xing Wang, C. Siyi Cheng, D. You Chen, E. Xi Zhang

“…Subsequently, a neural network based on the extreme learning machine methodology is developed, with its initial weights and biases fine-tuned through an improved particle swarm optimization, which is termed IPSO-ELM. …”
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LA INCIDENCIA DE LA FORMACIÓN EN LA EDAD ADULTA EN LA EMPLEABILIDAD DE LOS INDIVIDUOS. El caso de España by Helena Corrales-Herrero, Beatriz Rodríguez-Prado

“…Sin embargo, poco se sabe de los beneficios económicos de la formación en la edad adulta (adult learning o lifelong learning) . El objetivo de este artículo es estimar el impacto del aprendizaje (formal o no formal) en la edad adulta sobre la empleabilidad de los indi - viduos aplicando técnicas de emparejamiento (propensity score matching) a los da - tos de la Encuesta sobre la Participación de la Población Adulta en las Actividades de Aprendizaje ( EADA ). …”
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Shallow Foundation Settlement Quantification: Application of Hybridized Adaptive Neuro-Fuzzy Inference System Model by Mariamme Mohammed, Ahmad Sharafati, Nadhir Al-Ansari, Zaher Mundher Yaseen

“…Overall, ANFIS-PSO model showed a robust machine learning for settlement prediction.…”
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Predicting wind power using LSTM, Transformer, and other techniques by Arun Kumar M, Rithick Joshua K, Sahana Rajesh, Caroline Dorathy Esther J, Kavitha Devi MK

“…In this study, we bridge the gap by exploring various machine learning (ML) and deep learning (DL) methodologies to enhance wind power forecasts. …”
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Metallicity and α-abundance for 48 Million Stars in Low-extinction Regions in the Milky Way by Kohei Hattori

“…We further investigate how our machine learning models extract information on ([M/H], [ α /M]). …”
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Values in the Strategic Management of a Modern Russian University by N. D. Tskhadaya

“…The model of “valuecompetence parallelepiped” aims at attainment of the organic unity of learning programs, educational and extra-curricular work.The University has carried out a number of cultural and social projects, which influenced greatly on the regional environment and community. …”
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