Multi-classification of breast cancer histopathological image using enhanced shallow convolutional neural network by Musa Yusuf, Armand Florentin Donfack Kana, Mustapha Aminu Bagiwa, Mohammed Abdullahi

“…Consequently, several computer-aided diagnoses (CAD) solutions have been presented to aid histopathologists with the automated classification of cancerous tumor cells on histological images. …”
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Increment of Academic Performance Prediction of At-Risk Student by Dealing With Data Imbalance Problem by Nguyen Giap Cu, Thi Lich Nghiem, Thi Hoai Ngo, Manh Tuong Lam Nguyen, Hong Quan Phung

“…Studies on automatically predicting student learning outcomes often focus on developing and optimizing machine learning algorithms that fit the data captured from different education systems. …”
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Development and Validation of Fully Automated Measurement Framework to Quantify 3D Foot and Ankle Alignment Using Weight-Bearing CT by Ide Van den Borre Ir., Matthias Peiffer MD, Roel Huysentruyt Ir., Manu Huyghe BMSc, Jean Vervelghe BMSc, Aleksandra Pizurica Prof. Ir., Emmanuel Audenaert MD, PhD, Arne Burssens MD, PhD

“…Category: Hindfoot; Ankle Introduction/Purpose: Traditionally, foot and ankle alignment is quantified on 2D standing radiographs. This imaging method present limitations in capturing the 3D nature of our foot and ankle alignment and the obtained manual measurements are prone to observer error. …”
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Scalable, Flexible, and Affordable Hybrid IoT-Based Ambient Monitoring Sensor Node with UWB-Based Localization by Mohammed Faeik Ruzaij Al-Okby, Thomas Roddelkopf, Jiahao Huang, Mohsin Bukhari, Kerstin Thurow

“…In this research paper, we present an innovative approach for developing a low-cost and portable sensor node that detects and warns of hazardous chemical gas and vapor leaks. …”
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3D densely connected CNN with multi-scale receptive fields and hybrid loss for brain tumor segmentation by Fatemehzahra Adib, Maryam Amirmazlaghani, Mohammad Rahmati

“…However, manual segmentation of magnetic resonance imaging (MRI) data is labor-intensive and limits the use of precise measurements in clinical practice. This paper presents a 3D convolutional neural network (CNN) model to automatically segment brain tumors from MRI scans. …”
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VERBAL MODEL OF MANAGEMENT OF A VULNERABLE PROCESS OF DEDICATING THE ACCESS OF USERS TO THE SOFTWARE OF THE ELECTRONIC DOCUMENT SYSTEM by V. P. Alferov, I. G. Drovnikova, L. A. Obukhova, E. A. Rogozin

“…In order to eliminate it, it is necessary to develop new methods related to managing the weakly vulnerable process of delimiting user access not only to confidential information, but also to the software of the electronic document management system.Method One way to solve this problem is to use the modified “soft administration” method, which consists in automatically generating lists of allowed source files in the authorization matrix by reducing the lists and comparing file integrity functions with a reference list for an existing software package. …”
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Comparando os métodos paramétrico e não-paramétrico na determinação do valor crítico do teste estatístico de médias proposto por Hayter e Tsui Comparing the parametric and non-para... by Sueli Aparecida Mingoti, Fernando Augusto Alves Glória

“…<br>In this paper a comparison between the parametric and the non-parametric methods used to find the constant C Ralpha, which is part of the Hayter and Tsui (1994) methodology to control multivariate processes, is presented. The Hayter and Tsui method is an alternative to the Hotelling T²statistical test with the advantage that it identifies automatically which quality characteristic is responsible for the out-of-control situation. …”
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Exploring links between the sustainability performance of urban public transport and land use in international cities by Graham Currie, Chris De Gruyter

“…Do cities with low-density land use automatically have poor sustainability performance? Do high-density megacities always have good sustainability performance relative to other cities? …”
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Data Analysis Subsystem as a Way of Automating Monitoring and Analysis Processes for Prices in Online Stores by Alla Vsevolodova, Olga Kartasheva

“…The article presents the development of a subsystem for automating the processes of monitoring and analyzing prices of online stores. …”
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Transformer attention fusion for fine grained medical image classification by Danyal Badar, Junaid Abbas, Raed Alsini, Tahir Abbas, Wang ChengLiang, Ali Daud

“…This model uses self-attention mechanics to improve spatial connections between single scales and cross-attention to automatically match feature patterns across multiple scales, thereby developing a comprehensive information structure. …”
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Reading and Memory Skills of Children with and without Dyslexia in Greek (L1) and English (L2) as a Second Language: Preliminary Results from a Cross-Linguistic Approach by Maria-Ioanna Gkountakou, Ioanna Talli

“…The focus of the present paper is twofold; the first objective is to examine how children with dyslexia (henceforward DYS children) and typically developing children (henceforward TD children) performed in Greek (first language; L1) compared to English (second language; L2) in reading, phonological awareness (PA), rapid automatized naming (RAN), working memory (WM), and short-term memory (STM) tasks. …”
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Efficient Real-Time Isotope Identification on SoC FPGA by Katherine Guerrero-Morejón, José María Hinojo-Montero, Jorge Jiménez-Sánchez, Cristian Rocha-Jácome, Ramón González-Carvajal, Fernando Muñoz-Chavero

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Telugu language hate speech detection using deep learning transformer models: Corpus generation and evaluation by Namit Khanduja, Nishant Kumar, Arun Chauhan

“…Therefore, it is crucial to automatically filter online content to identify and eliminate hate speech from social media. …”
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Gamification in Automated Air Traffic Control: Increasing Vigilance Using Fictional Aircraft by Calin Andrei Badea, Gijs de Rooij, Clark Borst, Max Mulder

“…Fictional flights were superimposed among automatically controlled real traffic, thus creating fictional conflicts that needed resolving. …”
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A Novel Case Base Reasoning and Frequent Pattern Based Decision Support System for Mitigating Software Risk Factors by Muhammad Asif, Jamil Ahmed

“…The information in the existing studies is scattered over different articles which makes it difficult to find relevant knowledge to establish relationship between risk factors and mitigations. This paper presents a novel model which identifies the relationship between risk factors and mitigations automatically by using intelligent Decision Support System (DSS). …”
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#GAMEADDICTED: A Machine Learning Framework for Digital Game Addiction Detection and Early Intervention by Esra Kahya Ozyirmidokuz, Bekir Asim Celik, Eduard Alexandru Stoica

“…This innovative approach introduces a new dimension in addiction studies by presenting a practical tool for early detection and intervention in DGA.…”
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Advanced algorithms for UAV tracking of targets exhibiting start-stop and irregular motion by Dinesh Kumar Nishad, Saifullah Khalid, Dharmendra Prakash, Vinay Kumar Singh, Priyanka Sahani

“…Abstract This study presents breakthrough mathematical formulations for UAV tracking that achieve 56.1% HOTA accuracy for targets with start-stop and irregular motion—a 65% improvement over traditional Kalman Filter approaches. …”
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Acute kidney injury and its progression in hospitalized patients-Results from a retrospective multicentre cohort study with a digital decision support system. by Thea Sophie Kister, Johannes Remmler, Maria Schmidt, Martin Federbusch, Felix Eckelt, Berend Isermann, Heike Richter, Markus Wehner, Uwe Krause, Jan Halbritter, Carina Cundius, Markus Voigt, Alexander Kehrer, Jörg Michael Telle, Thorsten Kaiser

“…Clinical and laboratory data was automatically collected from electronic patient records using the frameworks of the CDSS. …”
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Predicting future morphological changes of lesions from radiotracer uptake in 18F-FDG-PET images. by Ulas Bagci, Jianhua Yao, Kirsten Miller-Jaster, Xinjian Chen, Daniel J Mollura

“…The radiotracer accumulation in patients' scans was automatically detected and segmented by the proposed segmentation algorithm. …”
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Objective Identification Method of Cold-Front Precipitation in Winter Half Years over East Asia by Shuya He, Yujing Qin, Chuhan Lu, Mengru Feng

“…Under the background of global warming, extreme precipitation caused by cold fronts presents a significant increasing trend. Hence, it is very important to quantify the cold-front precipitation that may cause great damages. …”
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