A Systematic Literature Review of Concept Drift Mitigation in Time-Series Applications by Mujaheed Abdullahi, Hitham Alhussian, Norshakirah Aziz, Said Jadid Abdulkadir, Yahia Baashar, Abdussalam Ahmed Alashhab, Afroza Afrin

“…This affects the predictive performance of ML models. To address this issue, researchers have developed several CD detection and adaptation techniques. …”
Get full text

Analyzing the capability description of testing institution in Chinese phrase using a joint approach of semi-supervised K-Means clustering and BERT by Gaoqing Xu, Qun Chen, Shuhang Jiang, Xiaohang Fu, Yiwei Wang, Qingchun Jiao

“…These shortcomings complicate the classification and analysis of testing capability descriptions. …”
Get full text

Emotion Recognition Method Using U-Net Neural Network With Multichannel EEG Features and Differential Entropy Characteristics by Haitao Huang, Ying Deng, Bowen Hao, Wenguang Liu, Xiaoyu Tu, Guojun Zeng

“…This paper presents an emotion recognition method tailored for small sample training data, effectively addressing the issue of emotion classification based on multichannel continuous electroencephalogram (EEG) signals. …”
Get full text

Analysis of Lightning Hazards in the Context of Formal and Technical Requirements for Facilities with Designated Explosion Hazard Zones by Jarosław Wiater

Get full text

Enhance decoding of lower limb motor imagery‐electroencephalography patterns by Riemannian clustering by Xinwei Sun, Tuo Liu, Kun Wang, Lincong Pan, Lin Meng, Xinmin Ding, Weibo Yi, Minpeng Xu, Dong Ming

“…This study proposed two classification methods based on Riemannian clustering: margin based Riemannian clusters (MBRC) and statistics based Riemannian clusters (SBRC) to address this issue. …”
Get full text

Age-related aspects of glioma: current understanding. Literature review by Serhii P. Luhovskyi, Tetiana Y. Kvitnytska-Ryzhova

“… The updated 2021 WHO Classification of Central Nervous System (CNS) Tumors introduces, for the first time, an age-based approach to glioma classification, leveraging advances in molecular biology and epigenetics of CNS tumors. …”
Get full text

Kronecker convolutional feature pyramid for fault diagnosis in rolling bearings by Sadia Batool, Abbas Ali Abid, Muhammad Asif, Sagheer Abbas, Khan Muhammad Adnan, Asghar Ali Shah, Taher M. Ghazal

“…The proposed research enhances feature representation and classification accuracy while mitigating model degradation. …”
Get full text

Multi-Dimensional Lithology Identification Method Based on Microresistivity Image Logging by LIU Juan, MIN Xuanlin, QI Zhongli, YI Jun, LAI Fuqiang, ZHOU Wei

“…For the electrical imaging color features of different resistivity responses (mudstone, calcareous mudstone and sandy mudstone), K-means++ algorithm is used to screen out the clustering centers of the overall distribution of the data set to achieve fast classification of the electro-imaging colors. Finally, combined with the results of shape classification and color classification, the types of electrical imaging lithology are identified. …”
Get full text

Explainable Supervised Learning Models for Aviation Predictions in Australia by Aziida Nanyonga, Hassan Wasswa, Keith Joiner, Ugur Turhan, Graham Wild

“…To address the issue of class imbalance in the Australian Transport Safety Bureau (ATSB) dataset, a Variational Autoencoder (VAE) is also employed for data augmentation. …”
Get full text

Intracranial stenosis prediction using a small set of risk factors in the Tromsø Study by Luca Bernecker, Liv-Hege Johnsen, Torgil Riise Vangberg

“…We achieved similar performance on classification compared to modern detection algorithms for ICAS in TOF-MRA (time-of-flight magnetic resonance angiography). …”
Get full text

Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…This study urges further investigation into NLP and ML, as well as practical uses of LJP. Low classification performance, low quantity of data, imbalanced dataset, data accessibility, data labeling, extraction of semantic information from natural language, expert involvement, generalizability issue, and multilingual datasets represent a few of the major problems that LJP faces, and the study is significant because it clarifies some of the major issues that LJP faces. …”
Get full text

Comparative Analysis of Fine-Tuning I3D and SlowFast Networks for Action Recognition in Surveillance Videos by T. Gopalakrishnan, Naynika Wason, Raguru Jaya Krishna, Vamshi Krishna B, N. Krishnaraj

“…Human Action Recognition is considered to be a critical problem and it is always a challenging issue in computer vision applications, especially video surveillance applications. …”
Get full text

A hybrid approach of vision transformers and CNNs for detection of ulcerative colitis by Syed Abdullah Shah, Imran Taj, Syed Muhammad Usman, Syed Nehal Hassan Shah, Ali Shariq Imran, Shehzad Khalid

“…Researchers have proposed variety of machine/deep learning methods for automated detection of ulcerative colitis, however, several challenges exists including class imbalance problem, comprehensive feature extraction and accurate classification. We propose a novel method for accurate detection of ulcerative colitis with augmentation techniques to overcome class imbalance issue, a comprehensive feature vector extraction using custom architecture of Vision Transformer (ViT) and accurate classification using customized Convolutional Neural Network (CNN). …”
Get full text

Efficiency Calculation and Analysis of Green Economy Based on Improved Fixed Effects Model by Kaige Liu, Ze Fu, Yuxi Chai

“…The discrepancy between global economic growth and environmental degradation has become increasingly pronounced, and the calculation of green economic efficiency has become a key issue. In response to the problem of traditional fixed effects models neglecting important heterogeneity factors in measuring green economic efficiency, this study proposes an improved fixed effects model combined with long short-term memory neural network classification algorithm. …”
Get full text

Classifiability Analysis of Spectroscopic Profiling Datasets in Food Safety-related Discriminative Tasks by Yinsheng Zhang, Xudong Yang, Zhengyong Zhang, Haiyan Wang

“…In recent years, spectroscopic profiling combined with machine learning is becoming popular for food-related discriminative tasks, but finding an appropriate classification model can be challenging. Compared to the current “trial-and-error” practice, this paper proposes a dedicated two-step classifiability analysis framework to address this issue. …”
Get full text

Analisis Sentimen Wacana Pemindahan Ibu Kota Indonesia Menggunakan Algoritma Support Vector Machine (SVM) by Primandani Arsi, Retno Waluyo

“…In this study, the Support Vector Machine (SVM) method is proposed to be applied to tweets on the topic of relocating Indonesia's capital city for sentiment classification on social media twitter. The classification technique is carried out into 2 classes, namely positive and negative. …”
Get full text

DEBT CAPACITY DAN PENGUJIAN TEORI PECKING ORDER PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2006-2010 by Andi Dwi Kurnia Nugraha, B. Yuliarto Nugroho

“… Abstract This research discusses about debt capacity of the firms and the test of pecking order theory of non-financial firms listed at Indonesia Stock Exchange from 2006-2010. Classification of firms by its debt capacity is needed to examine the relationship between financing deficit towards long-term debt issue according to the pecking order model. …”
Get full text

DEBT CAPACITY DAN PENGUJIAN TEORI PECKING ORDER PADA PERUSAHAAN YANG TERDAFTAR DI BURSA EFEK INDONESIA TAHUN 2006-2010 by Andi Dwi Kurnia Nugraha, B. Yuliarto Nugroho

“… Abstract This research discusses about debt capacity of the firms and the test of pecking order theory of non-financial firms listed at Indonesia Stock Exchange from 2006-2010. Classification of firms by its debt capacity is needed to examine the relationship between financing deficit towards long-term debt issue according to the pecking order model. …”
Get full text

Glosa częściowo aprobująca do wyroku WSA w Szczecinie z 17 stycznia 2024 r., I SA/Sz 634/23 by Jan Brzuchalski

“…It also addresses substantive issues arising from the aforementioned Act, such as the classification of public information as simple or processed information and the term "special public interest." …”
Get full text

Study of improvement of indices maize line to establish their position in hybrids by Oxana DIRZU-COCOS

Get full text