Detection of COVID-19 Using a Pre-trained CNN Model Over Chest X-ray Images by Mohammadreza Behnia, Touba Torabipour, Safieh Siadat

“…In order to detect this disease, deep learning algorithms and machine vision are widely used by computer scientists. …”
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miRNA-Disease Association Prediction with Collaborative Matrix Factorization by Zhen Shen, You-Hua Zhang, Kyungsook Han, Asoke K. Nandi, Barry Honig, De-Shuang Huang

“…Therefore, it is necessary to design efficient algorithms to identify novel miRNA-disease association. …”
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A Software Tool for Assisting Experimentation in Dynamic Environments by Pavel Novoa-Hernández, Carlos Cruz Corona, David A. Pelta

“…In this context, experimentation is a crucial task because of the stochastic nature of both algorithms and problems. Currently, there are several technologies whose methods, problems, and performance measures can be implemented. …”
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Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments by Hongling Wang, Chengjin Zhang, Yong Song, Bao Pang

“…The novel integration particle filter (IPF) and optimal improved EKF (IEKF) algorithms are derived for information-fusion systems to perform SLAM task in SAR scenarios. …”
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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

“…This analysis covers both machine learning models (ML), such as support vector machine (SVM) & random forest (RF), as well as deep learning algorithms (DL), including convolution neural network (CNN), AlexNet, ResNet50, ShuffleNet, MobileNet, RNN. …”
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GastroHUN an Endoscopy Dataset of Complete Systematic Screening Protocol for the Stomach by Diego Bravo, Juan Frias, Felipe Vera, Juan Trejos, Carlos Martínez, Martín Gómez, Fabio González, Eduardo Romero

“…By providing a robust public dataset and baseline deep learning models for image and sequence classification, GastroHUN serves as a benchmark for future research and aids in the development of more effective algorithms.…”
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A Modular AI-Driven Intrusion Detection System for Network Traffic Monitoring in Industry 4.0, Using Nvidia Morpheus and Generative Adversarial Networks by Beatrice-Nicoleta Chiriac, Florin-Daniel Anton, Anca-Daniela Ioniță, Bogdan-Valentin Vasilică

“…In the current context of the digital era, where industrial environments handle large data volumes, new cybersecurity solutions are required, and intrusion detection systems (IDSs) based on artificial intelligence (AI) algorithms are coming up with an answer to this critical issue. …”
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Network traffic control using traffic shaping techniques by Radojičić Valentina D.Ž., Marković Goran Z., Mitrović Slobodan D.

“…This paper explains the basic concept of traffic shaping, available algorithms on which traffic shaping techniques are based and provides a comparison with Traffic Policing techniques.…”
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Plastic forms of architecture in Dynamo-Revit and GrasshopperRhino-Archicad by K. A. Shumilov, Yu. A. Guryeva

“…It is advisable to continue working in this direction in order to obtain more concise and universal algorithms (chains of nodes) that allow varying the initial data and options for the shape of plastic architectural objects.…”
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Research on Spaceborne Neural Network Accelerator and Its Fault Tolerance Design by Yingzhao Shao, Junyi Wang, Xiaodong Han, Yunsong Li, Yaolin Li, Zhanpeng Tao

“…To meet the high-reliability requirements of real-time on-orbit tasks, this paper proposes a fault-tolerant reinforcement design method for spaceborne intelligent processing algorithms based on convolutional neural networks (CNNs). …”
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Toward secure and accountable data transmission in Narrow Band Internet of Things based on blockchain by Hanshu Hong, Bing Hu, Zhixin Sun

“…We describe the interaction processes between each layer in detail and construct the algorithms which are used to conduct data authentication and blockchain generation. …”
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msiFlow: automated workflows for reproducible and scalable multimodal mass spectrometry imaging and microscopy data analysis by Philippa Spangenberg, Sebastian Bessler, Lars Widera, Jenny Bottek, Mathis Richter, Stephanie Thiebes, Devon Siemes, Sascha D. Krauß, Lukasz G. Migas, Siva Swapna Kasarla, Prasad Phapale, Jens Kleesiek, Dagmar Führer, Lars C. Moeller, Heike Heuer, Raf Van de Plas, Matthias Gunzer, Oliver Soehnlein, Jens Soltwisch, Olga Shevchuk, Klaus Dreisewerd, Daniel R. Engel

“…Here, we present msiFlow, an accessible open-source, platform-independent and vendor-neutral software for end-to-end, high-throughput, transparent and reproducible analysis of multimodal imaging data. msiFlow integrates all necessary steps from raw data import to analytical visualisation along with state-of-the-art and self-developed algorithms into automated workflows. Using msiFlow, we unravel the molecular heterogeneity of leukocytes in infected tissues by spatial regulation of ether-linked phospholipids containing arachidonic acid. …”
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A new continuous optimization method of standardized cubic permanent magnets for stellarators by Xiangyu Zhang, Dehong Chen, Guosheng Xu, Zhiyuan Lu, Caoxiang Zhu, Liang Chen, Minyou Ye, Baonian Wan

“…This paper introduces a novel method that converts the discrete optimization problem into a continuous nonlinear optimization problem, enabling the direct application of well-established nonlinear optimization algorithms. This approach leverages a specially tailored continuous function to represent the magnetization moment and incorporates a penalty term to ensure the direction vector converges to one of the discrete points. …”
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EM-Act: A Modular Series Elastic Actuator for Dynamic Robots by Ramesh krishnan Muttathil Gopanunni, Lorenzo Martignetti, Francesco Iotti, Alok Ranjan, Franco Angelini, Manolo Garabini

“…To be employed profitably, this research necessitates a significant amount of work in the development of innovative planning and control algorithms that need experimental validation on actual robots. …”
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Systematic Theoretical Analysis of Dual-Parameters RF Readout by a Novel LC-Type Passive Sensor by Qiulin Tan, Yanjie Guo, Guozhu Wu, Tao Luo, Tanyong Wei, Sanmin Shen, Wendong Zhang, Jijun Xiong

“…Additionally, a decoupling scheme for solving the crosstalk problem algorithmically was proposed and a corresponding function was derived out. …”
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The study of five-level inverters with various PWM by O. A. Lysenko, A. A. Okhotnikov, V. A. Zakharenko, V. Yu. Kobenko

“…The voltage of constant voltage sources is 535 V. In the article algorithms for the formation of pulse-width modulation (PWM) are considered: Phase Opposition Disposition, Alternative Phase Opposition Disposition and Hybrid methods with zero sequence sinusoidal shape of the modulate voltage or with triangular shape of the modulate voltage. …”
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Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization by Jannik Henkmann, Vittorio Memmolo, Jochen Moll

“…Starting from current state of the art in algorithms used for damage detection and localization, an AI-based technique is developed and validated on an experimental benchmark dataset before tiny ML implementation on a low-cost development board. …”
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Statistical Learning for Semantic Parsing: A Survey by Qile Zhu, Xiyao Ma, Xiaolin Li

“…In this paper, we review recent algorithms for semantic parsing including both conventional machine learning approaches and deep learning approaches. …”
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In-depth study of lightweight block ciphers: Performance assessment and implementation on sensor motes by Amal Hkiri, Mouna Karmani, Fawaz Hasan Alasmary, Omar Ben Bahri, Ahmed Mohammed Murayr, Mohsen Machhout

“…Block ciphers, which are fundamental cryptographic algorithms used for encrypting data, play a critical role in ensuring data security within these environments. …”
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COph100: A comprehensive fundus image registration dataset from infants constituting the “RIDIRP” database by Yan Hu, Mingdao Gong, Zhongxi Qiu, Jiabao Liu, Hongli Shen, Mingzhen Yuan, Xiaoqing Zhang, Heng Li, Hai Lu, Jiang Liu

“…We have assessed COph100 in terms of image quality and registration outcomes using state-of-the-art algorithms. This resource enables a robust comparison of retinal registration methodologies and aids in the analysis of disease progression in infants, thereby deepening our understanding of pediatric ophthalmic conditions.…”
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