Fresh or Rotten? Enhancing Rotten Fruit Detection With Deep Learning and Gaussian Filtering by Leopold Fischer-Brandies, Lucas Muller, Justus Johannes Riegger, Ricardo Buettner

“…We address the pressing issue of food waste by proposing a robust image classification model that can reliably detect rotten fruits. …”
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Open-World Semi-Supervised Learning for fMRI Analysis to Diagnose Psychiatric Disease by Chang Hu, Yihong Dong, Shoubo Peng, Yuehan Wu

“…In the context of graph-based mental disorder classification, open-world semi-supervised learning for node classification aims to classify unlabeled nodes into known classes or potentially new classes, presenting a practical yet underexplored issue within the graph community. …”
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Stochastic differential equation modeling approach for grading astrocytomas on brain MRI images by Mahsa Raisi-Nafchi, Mahnoosh Tajmirriahi, Hossein Rabbani, Zahra Amini

“…This paper presents a new preoperative classification method for astrocytomas, addressing the issue of data scarcity in medical imaging. …”
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Cross-Dataset Head-Related Transfer Function Harmonization Based on Perceptually Relevant Loss Function by Jiale Zhao, Dingding Yao, Junfeng Li

“…The recent Listener Acoustic Personalization Challenge 2024 (European Signal Processing Conference) dealt with this issue, with the task of harmonizing different datasets to achieve lower classification accuracy while meeting thresholds over various localization metrics. …”
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Enhancing the performance of SSVEP-based BCIs by combining task-related component analysis and deep neural network by Qingguo Wei, Chang Li, Yijun Wang, Xiaorong Gao

“…However, an efficient strategy for integrating the two methods has not yet been established. To address this issue, we propose a classification framework named eTRCA + sbCNN that combines an ensemble task-related component analysis (eTRCA) algorithm and a sub-band convolutional neural network (sbCNN) for recognizing the frequency of SSVEP signals. …”
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Soft voting ensemble model to improve Parkinson’s disease prediction with SMOTE by Jumanto Unjung, Rofik Rofik, Endang Sugiharti, Alamsyah Alamsyah, Riza Arifudin, Budi Prasetiyo, Much Aziz Muslim

“…However, a major issue in predictive analysis is the imbalance in data distribution and the low performance of classification algorithms. …”
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A Performance Analysis of Business Intelligence Techniques on Crime Prediction by Ivan, Niyonzima, Emmanuel Ahishakiye, Elisha Opiyo Omulo, Ruth Wario

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Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

“…Abstract The unknown boundary issue, between superior computational capability of deep neural networks (DNNs) and human cognitive ability, has becoming crucial and foundational theoretical problem in AI evolution. …”
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Secure and Fair Cluster Head Selection Protocol for Enhancing Security in Mobile Ad Hoc Networks by B. Paramasivan, M. Kaliappan

“…In this paper, a secure and fair cluster head selection protocol (SFCP) is proposed which integrates security factors into the clustering approach for achieving attacker identification and classification. Byzantine agreement based cooperative technique is used for attacker identification and classification to make the network more attack resistant. …”
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EDUCATION IN ECONOMIC THEORY by Jasmina Osmanković, Hatidža Jahić, Ensar Šehić

“…In order to find answers and to present a current issue why and how certain countries have made progress while others have regressed in the development process, many theories and models explaining processes of growth and development have emerged and developed. …”
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Advanced Breast Cancer Diagnostics With PolyBreastVit: A Combined PolyNet and Vision Transformer Approach by Visalakshi Annepu, Mohamed Abbas, Hanumatha Rao Bitra, Naveen Kumar Vaegae, Kalapraveen Bagadi

“…Breast cancer continues to be an important health issue around the world, with timely screening being important in improving survival and therapy. …”
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Sql injection detection using Naïve Bayes classifier: A probabilistic approach for web application security by Lu Zhexi

“…A pervasive security issue in web applications is database injection, enabling attackers to alter SQL queries in order to get unauthorized access to confidential information. …”
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Methodical approach to consideration of the financial system of Ukraine and its restructuring in crisis conditions by S.M. Frolov, F.B. Shukairi, Ye.S. Kozmenko

“…Nowadays, several classifications of the FS in different countries can be distinguished. …”
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Arabic Digits Recognition by Using Unified Binary Templates in The Digital Images by Sundus Ebraheem

“…The process of classification and recognition of the digits is very important and accurate issue, it should depend on a strong, adequate rule, because there are differences in the representation of the digits for various type of font,  rather than to get homogeneous classification for group of digits to show the form or the constant shape for the digit from groups of font , where to be one shape represents each group of the shapes and sizes. …”
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Rolling Bearing Fault Diagnosis Based on SCNN and Optimized HKELM by Yulin Wang, Xianjun Du

“…Experimental results showed a fault classification accuracy exceeding 99%, confirming the practical value of the method.…”
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Addressing class imbalance in lassa fever epidemic data, using machine learning: a case study with SMOTE and random forest by Osowomuabe Njama-Abang, Denis Ashishie, Paul Bukie

“…This study addresses the issue by employing SMOTE to rebalance the dataset and Random Forest for classification while identifying significant predictors such as age, symptom severity, and residence. …”
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Turning waste into wealth: Person identification by emotion‐disturbed electrocardiogram by Wei Li, Cheng Fang, Zhihao Zhu, Chuyi Chen, Aiguo Song

“…Abstract The issue of electrocardiogram (ECG)‐based person identification has attracted intense research interests nowadays. …”
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ARMENIAN-AZERBAIJIAN CONFLICT: CHRONOLOGY OF EVENTS AND POLITICAL ASPECT by Vladyslav Koshelnyk

“…The issue of the long-term Armenian-Azerbaijani conflict within the framework of the Nagorno-Karabakh region has been studied. …”
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Securing IoT devices with zero day intrusion detection system using binary snake optimization and attention based bidirectional gated recurrent classifier by Ali Saeed Almuflih, Ilyos Abdullayev, Sergey Bakhvalov, Rustem Shichiyakh, Bibhuti Bhusan Dash, K. B. V. Brahma Rao, Kritika Bansal

“…To reduce the high dimensionality issue and improve the classification results, the BSODL-ZDADC technique designs a BSO method to choose a set of related features. …”
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Enhancing the Accuracy of Land Use/Cover Map Using Some Spectral Indices in Sarab County–East Azerbaijan by A. Sarabchi, H. Rezaei, F. Shahbazi

“…Among the integrated indices, LST and ALTIVI enhanced the classification accuracy by 2.75% and 2.35%, respectively. …”
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