A Review on Machine Learning Models in Injection Molding Machines by Senthil Kumaran Selvaraj, Aditya Raj, R. Rishikesh Mahadevan, Utkarsh Chadha, Velmurugan Paramasivam

“…Some problems include data division, collection, and preprocessing steps, such as considering the inputs, networks, and outputs, algorithms used, models utilized for testing and training, and performance criteria set during validation and verification. …”
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LSTM and TCN application for airport surface distress detection by Ludek Cicmanec, Adam Kubica, Jiri Maslan

“…As a consequence, we chose the TCN to implement the practical application. Both algorithms demonstrated high accuracy on training and validation data and performed well on other independent test samples.…”
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Resilience and Economic Intelligence through Digitalization and Big Data Analytics by Alina Mihaela Dima

“…The onlife digitalization is the new phase of society digitalization where big data and smart algorithms based on artificial intelligence changed the decision process mechanism in the public and private sectors. …”
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Encoding and Decoding of Secret Messages Using Matrices. by Niwagaba, James

“…In order to unfold the history of encoding and decoding, the influence of matrices in the mathematical world is spread wide because it provides an important base to many of the principles and practices. It is important that we first determine what matrices is. …”
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Multitarget Direct Localization Using Block Sparse Bayesian Learning in Distributed MIMO Radar by Bin Sun, Haowen Chen, Xizhang Wei, Xiang Li

“…Since the sparse representation coefficients exhibit block sparsity, we use a block sparse Bayesian learning (BSBL) method to estimate the locations of multitarget, which has many advantages over existing block sparse model based algorithms. …”
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A technical survey on tire-road friction estimation by Seyedmeysam Khaleghian, Anahita Emami, Saied Taheri

“…Due to its direct relation to vehicle stability, accurate estimation of tire-road friction is of interest to all vehicle and tire companies. Many studies have been conducted in this field and researchers have used different tools and have proposed different algorithms. …”
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Medical Image Encryption Techniques: A Review by zainab alhakak

“…The review demonstrated that these algorithms offer robust security and intricacy regarding keys. …”
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A Comparative Analysis of the Effectiveness of Multiple Models for Predicting Heart Failure using Data Mining by Ahmed Sami Jaddoa, Juliet Kadum, Amaal Kadum

“…The algorithms (LR and KNN) preprocessed the dataset's variation values to get the highest accuracy (90% and 93%). …”
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A New Weighted Correlation Coefficient Method to Evaluate Reconstructed Brain Electrical Sources by Jong-Ho Choi, Min-Hyuk Kim, Luan Feng, Chany Lee, Hyun-Kyo Jung

“…To validate and compare the performances of inverse algorithms, many researchers have used artificially constructed EEG and MEG datasets. …”
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Tensor networks for lattice gauge theories beyond one dimension by Giuseppe Magnifico, Giovanni Cataldi, Marco Rigobello, Peter Majcen, Daniel Jaschke, Pietro Silvi, Simone Montangero

“…Abstract Tensor network methods are numerical tools and algorithms to study many-body quantum systems in and out of equilibrium, based on tailored variational wave functions. …”
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Machine Learning-Assisted Hartree–Fock Approach for Energy Level Calculations in the Neutral Ytterbium Atom by Kaichen Ma, Chen Yang, Junyao Zhang, Yunfei Li, Gang Jiang, Junjie Chai

“…The workflow incorporates enhanced ElasticNet and XGBoost algorithms, refined using entropy weight methodology to optimize performance. …”
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RESULTS OF LIFE QUALITY EVALUATION IN CHILDREN WITH HEPATIC VARIANT OF GLYCOGEN DISEASE by A. N. Surkov, V. V. Chernikov, A. A. Baranov, L. S. Namazova-Baranova, A. S. Potapov, I. V. Vinyarskaya

“…The modern stage of glycogenoses’ study is characterized by many unsolved issues; in particular, there are no clear examination and complex rehabilitation algorithms for such patients. …”
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A Simple and Efficient Way to Save Energy in Multihop Wireless Networks with Flow Aggregation by Alexandre Laube, Dominique Quadri, Steven Martin, Khaldoun Al Agha

“…Today, whether in industry, research, or civil applications, there are many incentives to reduce the energy footprint of automated systems. …”
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Multidisciplinary approach in the differential diagnosis of left ventricular hypertrophy: a case report by M. M. Kudryavtseva, E. V. Ryzhkova, O. V. Kulikova, E. A. Mershina, V. E. Sinitsyn, O. M. Drapkina, R. P. Myasnikov

“…Despite the currently existing diagnostic algorithms for LV hypertrophy, establishing a correct diagnosis can take a long time, and controversial research results can lead to false conclusions. …”
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Master-Slave Control Scheme in Electric Vehicle Smart Charging Infrastructure by Ching-Yen Chung, Joshua Chynoweth, Chi-Cheng Chu, Rajit Gadh

“…It includes algorithms that provide a more optimal charge scheduling for the level 2 (EVSE) and an enhanced vehicle monitoring/identification module (VMM) system that can automatically identify PEVs and authorize charging.…”
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Analysis the Variability of Agroclimatic Feasibility of Aloe Vera Cultivation in Hormozgan Province under four CO2 Representative Concentration Pathways by Shahrbanoo Qanbari Adivi, Amir Gandomkar, Morteza Khodagholi

“…This plant naturally occurs in extremely dry and poor soils. It will grow well in many different types of soil, from sandy to moderately fertile loam, as long as it has good drainage. …”
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Systemic longitudinal immune profiling identifies proliferating Treg cells as predictors of immunotherapy benefit: biomarker analysis from the phase 3 CONTINUUM and DIPPER trials by Sai-Wei Huang, Wei Jiang, Sha Xu, Yuan Zhang, Juan Du, Ya-Qin Wang, Kun-Yu Yang, Ning Zhang, Fang Liu, Guo-Rong Zou, Feng Jin, Hai-Jun Wu, Yang-Ying Zhou, Xiao-Dong Zhu, Nian-Yong Chen, Cheng Xu, Han Qiao, Na Liu, Ying Sun, Jun Ma, Ye-Lin Liang, Xu Liu

“…Abstract The identification of predictors for immunotherapy is often hampered by the absence of control groups in many studies, making it difficult to distinguish between prognostic and predictive biomarkers. …”
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Visual Automatic Localization Method Based on Multi-level Video Transformer by Qiping ZOU, Botao LI, Saian CHEN, Xi GUO, Taohong ZHANG

“…This approach incorporates advanced image processing techniques to analyze video sequences captured by the industrial camera. Sophisticated algorithms enable the system to identify the frame with optimal clarity and sharpness. …”
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Travel Patterns Analysis Using Tensor-Based Model from Large-Scale License Plate Recognition Data by Zhaoxin Liu, Xiaolu Wang, Yufeng Bi, Jun Kong, Run Xu, Yuanpei Chen, Jinjun Tang

“…Then, the tensor decomposition and reconstruction algorithms are performed based on extracted feature variables to analyze their influence on travel patterns. …”
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Hierarchical Classification of Variable Stars Using Deep Convolutional Neural Networks by Mahdi Abdollahi, Nooshin Torabi, Sadegh Raeisi, Sohrab Rahvar

“…The importance of using fast and automatic methods to classify variable stars for large amounts of data is undeniable. There have been many attempts to classify variable stars by traditional algorithms like Random Forest. …”
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