Advancing Nutritional Status Classification With Hybrid Artificial Intelligence: A Novel Methodological Approach by Md. Moddassir Alam, Asif Irshad Khan, Aasim Zafar, Mohammad Sohail, Mohammad Tauheed Ahmad, Rezaul Azim

“…ABSTRACT Purpose Malnutrition remains a critical public health issue in low‐income countries, significantly hindering economic development and contributing to over 50% of infant deaths. …”
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IMPLEMENTATION OF THE FUZZY GUSTAFSON-KESSEL METHOD ON GROUPING DISTRICTS/CITIES IN KALIMANTAN ISLAND BASED ON POVERTY ISSUES FACTORS by Yunda Sasha Paradilla, Memi Nor Hayati, Sifriyani Sifriyani

“…This study aims to determine the results of the optimal number of groups based on the Partition Coefficient (PC) and Classification Entropy (CE) validity indexes and to find out the results of grouping 56 districts/cities on the island of Kalimantan based on poverty issue factors in 2021. …”
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Klasifikasi Penyakit pada Tanaman Berdasarkan Citra Daun Menggunakan Metode Convolutional Neural Network by Denis Aji Pangestu, Okta Qomaruddin Aziz, Cahyo Crysdian

“…This study demonstrates that the CNN method is effective in plant disease classification, with optimal performance at an 80:20 data ratio and single-stage classification. …”
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THE PRINCIPLES AND POSSIBILITIES OF FORECASTING: THE PAYABLES AND RECEIVABLES BALANCE SETTLEMENTS by T. P. Karpova, V. V. Karpova

“…The latter has an information and analytical function preparing the basis for financial strategy development and observance of the contractual discipline in combination with an adopted accounting policy. The urgency of the issues concerning the effective management of receivables and payables is growing higher because of the continuing process of payment discipline violation and this process is very difficult to manage. …”
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Performance improvement of extreme multi-label classification using K-way tree construction with parallel clustering algorithm by Purvi Prajapati, Amit Thakkar

“…eXtreme Multi-Label Classification (XMLC) is the particular case of Multi-Label Classification, which deals with an extremely high number of labels. …”
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Intracranial hemorrhage segmentation and classification framework in computer tomography images using deep learning techniques by S. Nafees Ahmed, P. Prakasam

“…In this paper, MUNet (Multiclass-UNet) based Intracranial Hemorrhage Segmentation and Classification Framework (IHSNet) is proposed to successfully segment multiple kinds of hemorrhages while the fully connected layers help in classifying the type of hemorrhages.The segmentation accuracy rates for hemorrhages are 98.53% with classification accuracy stands at 98.71% when using the suggested approach. …”
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Joint feature selection and classification of low-resolution satellite images using the SAT-6 dataset by Rajalaxmi Padhy, Sanjit Kumar Dash, Jibitesh Mishra

“…In summary, this paper provides compelling evidence that this RankEnsembleFS methodology presents excellent performance and overcomes key issues in feature selection and image classification for the SAT-6 dataset.…”
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Class-Balanced Random Patch Training to Address Class Imbalance in Tiling-Based Farmland Classification by Yeongung Bae, Yuseok Ban

“…However, typical tiling-based classification approaches, which extract patches at fixed offsets within each image during training, often suffer from structural issues such as patch duplication, limiting training diversity. …”
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Incorporating Crowdsourced Annotator Distributions into Ensemble Modeling to Improve Classification Trustworthiness for Ancient Greek Papyri by Graham West, Matthew I. Swindall, Ben Keener, Timothy Player, Alex C. Williams, James H. Brusuelas, John F. Wallin

“…Performing classification on noisy, crowdsourced image datasets can prove challenging even for the best neural networks. …”
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Critical Review on Powertrain Technologies for Electric Vehicles: Classification, Broadly Adopted Topologies, and Future Challenges by Sadeq Ali Qasem Mohammed, Samer Saleh Hakami, Mahmoud Kassas, Mohammad M. Almuhaini

“…However, there are major issues that may complicate the adoption of EVs including battery limitations, energy density, charging speed, insufficient charging stations, cost, and reliance on critical materials for instance, lithium and cobalt. …”
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Text classification using SVD, BERT, and GRU optimized by improved Seagull optimization (ISO) algorithm by Yuanyuan Chen, Nan Sun, Yuanbang Li, Rong Peng, Abbas Habibi

“…In the present research, a Gated Recurrent Unit (GRU) optimized by the Improved Seagull Optimization (ISO) algorithm was utilized to address these issues, resulting in notable improvements in classification performance. …”
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Convolutional Neural Network Based Vehicle Classification in Adverse Illuminous Conditions for Intelligent Transportation Systems by Muhammad Atif Butt, Asad Masood Khattak, Sarmad Shafique, Bashir Hayat, Saima Abid, Ki-Il Kim, Muhammad Waqas Ayub, Ahthasham Sajid, Awais Adnan

“…Deep learning-based classification systems have been proposed to incorporate the above-mentioned issues in traditional methods. …”
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A new locally adaptive K-nearest centroid neighbor classification based on the average distance by Benqiang Wang, Shunxiang Zhang

“…To address these three issues, we propose a new locally adaptive k-nearest centroid neighbour classification based on the average distance (AD-LAKNCN) in this paper. …”
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Classification of heart diseases using time-frequency representations of electrocardiogram signals by transfer learning networks by Amir Hossein Jalalzadeh, Hamid Ebrahimi, Maryam Jahangiri Moghadam

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Evolutionary Optimization for the Classification of Small Molecules Regulating the Circadian Rhythm Period: A Reliable Assessment by Antonio Arauzo-Azofra, Jose Molina-Baena, Maria Luque-Rodriguez

“…This study explores the use of evolutionary optimization techniques to enhance the classification of these molecules. We applied a genetic algorithm to optimize feature selection and classification performance. …”
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Deep learning-based image classification for integrating pathology and radiology in AI-assisted medical imaging by Chenming Lu, Jiayin Zhang, Ren Liu

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Theoretical aspects of the intangible assets system in the process of enterprises strategic management: definition, characteristics, classifications by V. M. Sedelnikov

“…Despite the variety of available approaches in foreign literature to the intangible assets classification, in our opinion, the classification, which includes human, customer, and structural assets (capital), is fundamental. …”
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Metaheuristic Algorithms for Optimization and Feature Selection in Cloud Data Classification Using Convolutional Neural Network by Nandita Goyal, Munesh Chandra Trivedi

“…Cloud forensics plays a vital role to address the security issues related to cloud computing by identifying, collecting and studying digital evidence in cloud environment.The aim of the research paper is to explore the concept of cloud forensic by applying optimization for feature selection before classification of data on cloud side. …”
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Investigating the Sustainability of Return to Scale Classification in a Two-Stage Network Based on DEA Models by Maryam Sarparast, Farhad Hosseinzadeh Lotfi, Alireza Amirteimoori

“…The sensitivity analysis of returns to scale classifications is one of the most significant issues in data envelopment analysis (DEA), which plays an essential role in management decisions. …”
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Multi-task deep learning framework for enhancing Mayo endoscopic score classification in ulcerative colitis by Jaehyuk Lee, Eunchan Kim

“…Furthermore, our results highlight the potential of MTL in overcoming data imbalance issues. Future studies should explore integrating multiple convolutional neural network-based models to further boost classification accuracy.…”
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