Responsible artificial intelligence in Africa: towards policy learning by Paul Plantinga, Kristophina Shilongo, Oarabile Mudongo, Angelique Umubyeyi, Michael Gastrow, Gabriella Razzano

“…In response, we suggest that there is a need for more explicit policy learning, by looking at existing governance capabilities and experiences related to algorithms, automation, data, and digital technology in other countries and in adjacent sectors. …”
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IDENTIFYING IMPORTANT GENES IN OVARIAN CANCER FROM HIGH-DIMENSIONAL MICROARRAY DATA USING SIFS-CART METHOD by Ni Kadek Emik Sapitri, Umu Sa'adah, Nur Shofianah

“…Ovarian cancer can be identified from microarray data using machine learning. Many studies only focus on improving the machine learning classification algorithms to achieve higher performance. …”
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Aspect-Based Sentiment Analysis for Afaan Oromoo Movie Reviews Using Machine Learning Techniques by Obsa Gelchu Horsa, Kula Kekeba Tune

“…ABSA has been widely investigated and developed for many resource-rich languages such as English and French. …”
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Cancer phylogenetic inference using copy number alterations detected from DNA sequencing data by Bingxin Lu

“…The challenges are discussed from the aspects of input data, models of evolution, and inference algorithms. The different methods are grouped according to the markers used for inference and the types of the reconstructed trees. …”
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Frequency Characteristics of Rhythm Non-Assimilation in Canine Ventricular Fibrillation by M. I. Guryanov

“…Ventricular fibrillation is the main cause of sudden cardiac death in many countries, including Russia; therefore to study ventricular fibrillation is an urgent problem. …”
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Cell-TRACTR: A transformer-based model for end-to-end segmentation and tracking of cells. by Owen M O'Connor, Mary J Dunlop

“…However, cell tracking can present unique challenges, with frequent cell division events and the need to track many objects with similar visual appearances complicating analysis. …”
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Characterization of time-variant and time-invariant assessment of suicidality on Reddit using C-SSRS. by Manas Gaur, Vamsi Aribandi, Amanuel Alambo, Ugur Kursuncu, Krishnaprasad Thirunarayan, Jonathan Beich, Jyotishman Pathak, Amit Sheth

“…In this work, we address this knowledge gap by developing deep learning algorithms to assess suicide risk in terms of severity and temporality from Reddit data based on the Columbia Suicide Severity Rating Scale (C-SSRS). …”
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The Quality of HOTS-Based Science Questions Developed by Indonesian Elementary School Teachers by Naufal Ishartono, Anatri Desstya, Harun Joko Prayitno, Yasir Sidiq

“…This study's findings show that many problems do not meet the first aspect, especially at non-algorithmic points, multiple ways, and multiple interpretations. …”
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Blood biomarker discovery for autism spectrum disorder: A proteomic analysis. by Laura Hewitson, Jeremy A Mathews, Morgan Devlin, Claire Schutte, Jeon Lee, Dwight C German

“…Proteomic analyses indicate that the levels of many proteins in plasma/serum are altered in ASD, suggesting that a panel of proteins may provide a blood biomarker for ASD. …”
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Disease progression & treatment need in sub-genotype C4 hepatitis B infection: a retrospective cohort study in the Northern Territory, Australia by Genevieve E. Martin, Kelly Hosking, Kelly Banz, Catherine Gargan, Geoff Stewart, Belinda Greenwood-Smith, Penelope Ramsay, Jaclyn Tate-Baker, Christine Connors, Paula Binks, Melita McKinnon, Prashanti Manchikanti, George Garambaka Gurruwiwi, Nicole Allard, Ashleigh Qama, Jessica Michaels, Emily Vintour-Cesar, Robert Batey, Catherine Marshall, Peter Nihill, Tammy-Allyn Fernandes, Karen Fuller, Steven Y. C. Tong, David Boettiger, Benjamin Cowie, Joshua S. Davis, Sarah Mariyalawuy Bukulatjpi, Jane Davies, on behalf of the Hep B PAST Partnership

“…Disease phase and cirrhotic status were determined algorithmically using clinical and laboratory data at two time points. …”
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Artificial intelligence: clinical applications and future advancement in gastrointestinal cancers by Abolfazl Akbari, Maryam Adabi, Mohsen Masoodi, Abolfazl Namazi, Abolfazl Namazi, Fatemeh Mansouri, Seidamir Pasha Tabaeian, Seidamir Pasha Tabaeian, Zahra Shokati Eshkiki

“…This paper highlights some of the many potential applications of artificial intelligence in this domain. …”
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Machine Learning-Based Methodologies for Cyber-Attacks and Network Traffic Monitoring: A Review and Insights by Filippo Genuario, Giuseppe Santoro, Michele Giliberti, Stefania Bello, Elvira Zazzera, Donato Impedovo

“…The number of connected IoT devices is increasing significantly due to their many benefits, including automation, improved efficiency and quality of life, and reducing waste. …”
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Defending CNN Against FGSM Attacks Using Beta-Based Personalized Activation Functions and Adversarial Training by Hanen Issaoui, Asma Eladel, Ahmed Zouinkhi, Mourad Zaied, Lazhar Khriji, Sarvar Hussain Nengroo

“…Machine learning algorithms based on deep neural networks have been widely used in many fields especially in computer vision, with impressive results. …”
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Machine Learning-Assisted Optical Characterization and Growth Modulation of Two-Dimensional Materials by Zihan Hu, Jiayi Liu, Xuefei Li, Zongyu Huang, Xiang Qi, Wenjuan Du

“…At a fundamental level, machine learning algorithms incorporate imaging systems to build highly accurate viewing frameworks for material analysis. …”
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Practicality of training a quantum-classical machine in the noisy intermediate-scale quantum era by Tarun Dutta, Alex Jin, Clarence Liu Huihong, José Ignacio Latorre, Manas Mukherjee

“…It addresses the challenges of coupling ion-trap systems with classical processors and highlights the effectiveness of genetic algorithms for NISQ devices and complex binary classification tasks with many local minima. …”
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A road generalization method using graph convolutional network based on mesh-line structure unit by Tianyuan Xiao, Tinghua Ai, Dirk Burghardt, Pengcheng Liu, Min Yang, Aji Gao, Bo Kong, Huafei Yu

“…On the other hand, existing methods tend to consider individual structures separately in different algorithms, such as strokes, meshes and graph networks, lacking a solution that brings the advantages of these methods together. …”
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Electrodynamic Model of the Signal Scattered by the Multilayer Structure with the Use of Physical Optics and Ray Tracing Technique by V. V. Bahchevnicov

“…To assess the performance of new algorithms for processing the radar signal reflected from the surfaces, full-scale tests are required. …”
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A Comprehensive Survey on Machine and Deep Learning for Optical Communications by Mohammad Ali Amirabadi, S. Alireza Nezamalhosseini, Mohammad Hossein Kahaei, Lawrence R. Chen

“…While ML and DL offer immense potential, their application in optical communications is still in its early stages, with significant opportunities remaining unexplored. Many algorithms have yet to be fully deployed in practical settings, underscoring the emerging nature of this research area. …”
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Predicting Credit Card Fraud using Supervised Machine Learning Methods: Comparative Analysis by Güner Altan, Metin Recep Zafer

“…Based on their performances, five algorithms were recommended for this study.…”
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Use of Aposteriori Information in the Implementation of Radar Recognition Systems Using Neural Network Technologies by Dmitrii F. Beskostyi, Sergei G. Borovikov, Yurii V. Yastrebov, Ilya A. Sozontov

“…The development of modern MRRS has created objective prerequisites for the use of progressive and new methods and algorithms for the processing of signals using neural networks. …”
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