Intelligent Beam-Hopping-Based Grant-Free Random Access in Secure IoT-Oriented Satellite Networks by Zhongliang Deng, Yicheng Liao

“…This technique utilizes orthogonal resource allocation algorithms to facilitate efficient resource sharing, effectively tackling the irregular and dynamic traffic. …”
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Integrated photonic programmable random matrix generator with minimal active components by Kevin Zelaya, Mostafa Honari-Latifpour, Mohammad-Ali Miri

“…In quantum information processing, random unitary operations are essential to boson sampling algorithms for multiphoton states in linear photonic circuits. …”
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Demonstration of Emulator-Based Bayesian Calibration of Safety Analysis Codes: Theory and Formulation by Joseph P. Yurko, Jacopo Buongiorno, Robert Youngblood

“…The key innovation has come from development of code surrogate model (or code emulator) construction and prediction algorithms. Use of a fast emulator makes the calibration processes used here with Markov Chain Monte Carlo (MCMC) sampling feasible. …”
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Enhancing Driving Safety and Environmental Consciousness through Automated Road Sign Recognition Using Convolutional Neural Networks by M. H. F. Md Fauadi, M. F. H. Mohd Zan, M. A. M Ali, L. Abdullah, S. N. Yaakop and A. Z. M. Noor

“…CNNs, as deep learning algorithms, possess the ability to process and classify visual data, making them well-suited for image-based tasks such as road sign recognition. …”
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Convergence of nanotechnology and artificial intelligence in the fight against liver cancer: a comprehensive review by Manjusha Bhange, Darshan Telange

“…We highlight how AI-powered algorithms can optimize nanocarrier design, facilitate real-time monitoring of treatment efficacy, and enhance clinical decision-making. …”
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Author Correction: Considerations in the search for epistasis by Marleen Balvert, Johnathan Cooper-Knock, Julian Stamp, Ross P. Byrne, Soufane Mourragui, Juami van Gils, Stefania Benonisdottir, Johannes Schlüter, Kevin Kenna, Sanne Abeln, Alfredo Iacoangeli, Joséphine T. Daub, Brian L. Browning, Gizem Taş, Jiajing Hu, Yan Wang, Elham Alhathli, Calum Harvey, Luna Pianesi, Sara C. Schulte, Jorge González-Domínguez, Erik Garrisson, Lorentz workshop on epistasis, Michael P. Snyder, Alexander Schönhuth, Letitia M. F. Sng, Natalie A. Twine

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Detection of the Gear Pair with Crack Defects Based on Double-tree Complex Wavelet by Wang Tianyang, Tao Xueheng, Dai Peng, Ran Haifeng

“…The experiment results show the noise reduction effect of this method is better than the commonly used hard threshold function wavelet noise reduction and the soft threshold function wavelet noise reduction algorithms, the defect type of the gear piar can be judged more accurately using this method and it provides a scientific basis for judging the state of the cylindrical spur gear pair.…”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

“…Future research can explore integrating advanced deep learning algorithms to enhance the system’s accuracy in this multiclass classification challenge.…”
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Risk Assessment of Biological Asset Mortgage Loans of China’s New Agricultural Business Entities by Shuzhen Zhu, Yutao Chen, Wenwen Wang

“…Based on 1249 production and operation data samples of new agricultural entities in Zhejiang, Henan, and Shandong provinces, this study constructs an XGBoost model for empirical analysis and compares it with logical regression, support vector machine, and random forest algorithms to obtain the optimal model and feature importance value. …”
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Deep Learning Methods for Arabic Autoencoder Speech Recognition System for Electro-Larynx Device by Zinah J. Mohammed Ameen, Abdulkareem Abdulrahman Kadhim

“…Artificial intelligence algorithms have shown promising capabilities for Arabic speech recognition. …”
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Face presentation attack detection. A comprehensive evaluation of the generalisation problem by Artur Costa‐Pazo, Daniel Pérez‐Cabo, David Jiménez‐Cabello, José Luis Alba‐Castro, Esteban Vazquez‐Fernandez

“…Besides, a new fine‐grained categorisation of presentation attacks and instruments is provided, enabling higher flexibility in assessing the generalisation of different algorithms under a common framework. As a result, GRAD‐GPAD v2, a comprehensive and modular framework is presented to evaluate the performance of face‐PAD approaches in realistic settings, enabling accountability and fair comparison of most face‐PAD approaches in the literature.…”
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Cognitive Driven Multilayer Self-Paced Learning with Misclassified Samples by Qi Zhu, Ning Yuan, Donghai Guan

“…In recent years, self-paced learning (SPL) has attracted much attention due to its improvement to nonconvex optimization based machine learning algorithms. As a methodology introduced from human learning, SPL dynamically evaluates the learning difficulty of each sample and provides the weighted learning model against the negative effects from hard-learning samples. …”
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Computing four-point functions with integrability, bootstrap and parity symmetry by Andrea Cavaglià, Nikolay Gromov, Michelangelo Preti

“…As this could be a clear obstacle in restoring higher point functions, we studied the problem of bounding directly a 4-point function at generic cross ratio, showing how to adapt for this purpose the numerical bootstrap algorithms based on semidefinite programming. Another tool we are using to further narrow the bounds is a parity symmetry descending from the N $$ \mathcal{N} $$ =4 SYM theory, which allowed us to reduce the number of parameters. …”
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What is a meaningful life for persons with acquired neurological impairments? A scoping review protocol. by Randi Steensgaard, Michele Offenbach Hundborg, Hanne Pallesen, Lena Aadal

“…<h4>Methods</h4>A PICo framework defines the search algorithms used in the databases MEDLINE, Cinahl, PsycINFO and Embase. …”
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Trivariate Stochastic Weather Model for Predicting Maize Yield by Patrick Chidzalo, Phillip O. Ngare, Joseph K. Mung’atu

“…Its aggregated values predict maize yield with R2 up to 0.9765 and MAPE=1.94% under common machine learning algorithms. Comparatively, the R2 is 0.8829% and MAPE=4.18%, under the maize yield SDE. …”
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Immersive Technologies in the Educational Practice of Russian Universities by D. P. Ananin, A. Yu. Suvirova

“…Providing immersion of students in the real conditions of professional skills application, immersive educational products are designed to practice the algorithms of operations in standard and non-standard situations of their (future) occupations individually. …”
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Efficient Narrowband Direction of Arrival Estimation Based on a Combination of Uniform Linear/Shirvani-Akbari Arrays by Shahriar Shirvani Moghaddam, Farida Akbari

“…In this paper, two well-known DOA estimation algorithms, multiple signal classification (MUSIC) and minimum variance distortionless response (MVDR), are used to evaluate the effectiveness of proposed arrays using total root mean square error (RMSE) criterion. …”
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Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

“…Nowadays, deep learning algorithms are frequently employed for recognition and classification tasks. …”
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Conceptualizing Discussions on the Dark Web: An Empirical Topic Modeling Approach by Randa Basheer, Bassel Alkhatib

“…We demonstrate the needed stages for the topic modeling process, beginning with data preprocessing and feature extraction to topic modeling algorithms. We utilize and discuss the following four topic models: LDA, CTM, PAM, and PTM. …”
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Effects of using wearable devices to monitoring physical activity in pulmonary rehabilitation programs for chronic respiratory diseases: A systematic review protocol. by Thaianne Rangel Agra Oliveira, Ana Tereza do Nascimento Sales Figueiredo Fernandes, Thayla Amorim Santino, Fernanda Elizabeth Pereira da Silva Menescal, Patrícia Angélica de Miranda Silva Nogueira

“…Studies that discuss only the development of algorithms or applications for the assessment of diseases or unavailable full texts will be excluded. …”
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