Anatomical characterization of Semi-arid Bignoniaceae using light and scanning electron microscopy by Romisha Sonia, Shabnum Shaheen, Muhammad Waheed, Sana Imran, Shiekh Marifatul Haq, Murad Muhammad, Abeer Hashem, Samiha Al Shehri, Elsayed Fathi Abd-Allah

“…Leaf anatomical research has proven valuable in resolving challenging taxonomic issues.…”
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RESEARCH ON FAULT DIAGNOSIS METHOD OF OIL VIBRATION BASED ON DS EVIDENCE THEORY AND MULTI-PARAMETER FUSION (MT) by LI Qing, LI ZhaoYang, WANG TianQin, CHEN WeiHua, ZHANG Min, CHEN Bin, NIE JianHong

“…., and its fault monitoring and diagnosis technology is always a hot issue. A gearbox fault diagnosis method based on DS evidence theory, which integrates oil and vibration with multiple parameters is proposed. …”
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Encoding IoT Data: A Comprehensive Review of Image Transformation Techniques by Suat Özdemir, Feyza Yıldırım Okay, Duygu Altunkaya

“…As IoT time-series data is high-dimensional and high-frequency, time-series classification or regression has been a challenging issue in IoT. …”
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Credit card fraud Detection using Feature select method and improved machine learning algorithm by Mohammed AL-Hammadi

“…In today’s digital age, credit card fraud has become a serious issue, posing financial risks to individuals, businesses, and financial institutions alike. …”
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Maxillary reconstruction: Current concepts and controversies by Subramania Iyer, Krishnakumar Thankappan

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Analysis of Romania’s and Transylvania’s Tourist Supply Development and Performance by Monica Maria Coros, Adina Letitia Negrusa

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Workflow Detection with Improved Phase Discriminability by ZHANG, M., HU, H., LI, Z.

“…Workflow detection is a challenge issue in the process of Industry 4.0, which plays a crucial role in intelligent production. …”
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Technologies of Modern Reindeer by Vladislava Vladimirova

“…Reindeer herding has historically played a significant role for the majority indigenous Evenki people. Neat classification of reindeer into distinctive breeds was completed in Soviet time, when “proper” selective breeding technologies were established. …”
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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. …”
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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. …”
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Emotion Recognition Model of EEG Signals Based on Double Attention Mechanism by Yahong Ma, Zhentao Huang, Yuyao Yang, Shanwen Zhang, Qi Dong, Rongrong Wang, Liangliang Hu

“…Methods: Addressing the issue of inaccurate feature extraction and low accuracy of existing deep learning models in emotion recognition, this paper proposes a multi-channel automatic classification model for emotion EEG signals named DACB, which is based on dual attention mechanisms, convolutional neural networks, and bidirectional long short-term memory networks. …”
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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. …”
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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. …”
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Analysis of Lightning Hazards in the Context of Formal and Technical Requirements for Facilities with Designated Explosion Hazard Zones by Jarosław Wiater

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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. …”
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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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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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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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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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