Design and Implementation of an Ethical AI-Based Teaching Assistant for IoT Security Education by Matilda Isaacs, Anwar Majeed, Karim Moussa, Dolapo Shodipo

“…Central to the project's success was a robust design phase that included carefully selecting AI algorithms, a modular and scalable architecture, an intuitive user interface, and efficient data flow mechanisms. …”
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Utilizing MRAMs With Low Resistance and Limited Dynamic Range for Efficient MAC Accelerator by Sateesh, Kaustubh Chakarwar, Shubham Sahay

“…The recent advancements in data mining, machine learning algorithms and cognitive systems have necessitated the development of neuromorphic processing engines which may enable resource and computationally intensive applications on the internet-of-Things (IoT) edge devices with unprecedented energy efficiency. …”
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Detection of Human Bladder Epithelial Cancerous Cells with Atomic Force Microscopy and Machine Learning by Mikhail Petrov, Nadezhda Makarova, Amir Monemian, Jean Pham, Małgorzata Lekka, Igor Sokolov

“…By processing AFM adhesion maps through machine learning algorithms, following previously established methods, we achieved an area under the ROC curve (AUC) of 0.97, with 91% accuracy in cancer cell identification. …”
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Cough recognition in pneumoconiosis patients based on a flexible patch with an embedded ACC sensor for remote monitoring by Jiawen Wang, Chunyan Min, Feng Yu, Kai Chen, Ling Mao

“…The top 56% of the highest scoring features were then combined using several feature selection algorithms to perform the cough classification task. …”
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Ischemic Stroke Lesion Segmentation on Multiparametric CT Perfusion Maps Using Deep Neural Network by Ankit Kandpal, Rakesh Kumar Gupta, Anup Singh

“…The study aims to investigate the potential of deep learning (DL) algorithms for the improved segmentation of ischemic lesions. …”
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A Novel Time Delay Nonsingular Fast Terminal Sliding Mode Control for Robot Manipulators with Input Saturation by Thanh Nguyen Truong, Anh Tuan Vo, Hee-Jun Kang

“…However, the design of effective control algorithms is challenged by nonlinearities, uncertain dynamics, disturbances, and varying real-world conditions. …”
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Progress in plant genome sequencing: research directions by M. K. Bragina, D. A. Afonnikov, E. A. Salina

“…Since the first plant genome of Arabidopsis thaliana has been sequenced and published, genome sequencing technologies have undergone significant changes. New algorithms, sequencing technologies and bioinformatic approaches were adopted to obtain genome, transcriptome and exome sequences for model and crop species, which have permitted deep inferences into plant biology. …”
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Identification of Fake Comments in E-Commerce Based on Triplet Convolutional Twin Network and CatBoost Model by Juanjuan Peng

“…Compared with the other two comparison algorithms, the detection time required by the proposed model was the shortest at 115us and consumed the least amount of resources. …”
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Decentralized electrochemical biosensors for biomedical applications: From lab to home by Pramod K. Kalambate, Vipin Kumar, Dhanjai

“…Furthermore, the integration of these devices with the Internet-of-Things (IoT), Internet-of-Medical-Things (IoMT), artificial intelligence (AI), and machine learning (ML) algorithms has demonstrated breakthrough technological solutions for healthcare management, disease prognosis, and patient care. …”
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Was Copernicus an Astrologer? by George Borski, Ivan Kolkov

“…However, apparently it was not rectified by the algorithms most popular at the time. The findings suggest the number-symbolic rather than astrological inclinations of Copernicus. …”
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Advances in the application of human-machine collaboration in healthcare: insights from China by Wuzhen Wang, Liangji Liu

“…“Human–machine collaboration” is based on an intelligent algorithmic system that utilizes the complementary strengths of humans and machines for data exchange, task allocation, decision making and collaborative work to provide more decision support. …”
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Jean-Baptiste Camps, La Chanson d’Otinel. Édition complète du corpus manuscrit et prolégomènes à l’édition critique by Jean-Baptiste Camps

“…Methods from the fields of mathematical modelling, statistics, algorithmic, and artificial intelligence are put to use, as well as processes seeking to allow interoperability, scalability, and systematisation of editorial work (optical character recognition, linguistic tagging, collation), in a workflow centred on analysis. …”
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Adaptive hip exoskeleton control using heart rate feedback reduces oxygen cost during ecological locomotion by Ali Reza Manzoori, Davide Malatesta, Alexandre Mortier, Johan Garcia, Auke Ijspeert, Mohamed Bouri

“…Our findings underscore the potential of HR as a promising measure of user effort intensity, encouraging future research to explore its integration into advanced adaptive algorithms.…”
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RETRACTED ARTICLE: Screening and identification of susceptibility genes for cervical cancer via bioinformatics analysis and the construction of an mitophagy-related genes diagnosti... by Zhang Zhang, Fangfang Chen, Xiaoxiao Deng

“…Furthermore, using machine learning algorithms, we constructed a clinical prognostic model and validated and optimized it via extensive clinical data. …”
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Advancing Hydrogel-Based 3D Cell Culture Systems: Histological Image Analysis and AI-Driven Filament Characterization by Lucio Assis Araujo Neto, Alessandra Maia Freire, Luciano Paulino Silva

“…<b>Background:</b> Machine learning is used to analyze images by training algorithms on data to recognize patterns and identify objects, with applications in various fields, such as medicine, security, and automation. …”
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An Enhanced Drone Technology for Detecting the Human Object in the Dense Areas Using a Deep Learning Model by Mohamad Reda A. Refaai, Dhruva R. Rinku, I. Thamarai, null S. Meera, Naresh Kumar Sripada, Simon Yishak

“…This study focused on detecting wildfires at the beginning stages in forest and wilderness areas, utilizing deep learning-based computer vision algorithms that control and then mitigate massive damages to human life and forest management.…”
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Reinforcement Learning-Based Routing Protocol to Minimize Channel Switching and Interference for Cognitive Radio Networks by Tauqeer Safdar Malik, Mohd Hilmi Hasan

“…The channel selection is performed on the basis of reinforcement learning algorithms such as No-External Regret Learning, Q-Learning, and Learning Automata. …”
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Typical investigative situations in the initial phase of a war-related sexual violence investigation by O. O. Naumkin

“…A number of tasks that need to be solved by the pre-trial investigation body in order to obtain sufficient grounds for making a reasonable procedural decision determining the proper limits of the investigation have been identified. Algorithms of corresponding actions have been developed, which are reflected in a procedural form through the prism of the intellectual activity of an official, in particular, an inspection of the scene of the incident, questioning of the victim or witnesses, taking biological samples of a person, appointing forensic experts, taking measures to ensure criminal proceedings in the form of temporary access to things and documents for the purpose of extracting photo or video material in digital form, using OSINT technologies to identify the rapist through social networks Instagram, Facebook, VK, etc., conducting covert investigative (search) actions and operational-search activities in order to establish the location the suspect, etc.…”
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Modern air defense methods and countermeasures for use in operational-tactical missiles by Mykola Bondarenko, Mykhailo Vorobei

“…This article delves into the multifaceted realm of missile defense, scrutinizing a spectrum of methodologies from conventional anti-aircraft systems to cutting-edge artificial intelligence algorithms. The primary objective is to explore existing methodologies aimed at protecting military assets and countering high-precision weaponry. …”
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Role of PPARs in Progression of Anxiety: Literature Analysis and Signaling Pathways Reconstruction by Olga I. Rudko, Artemii V. Tretiakov, Elena A. Naumova, Eugene A. Klimov

“…Signal pathways were created according to previously developed algorithms. SNEA was performed in Pathway Studio. Current study revealed 14 PPAR-regulated proteins linked to anxiety. …”
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