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297 articles for “Ash”
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Research ArticleOpen accessIn the author namesEnhancing Corn Yield and Soil Fertility in Light Chestnut Soils Using BioEcoGum: A Case Study from KazakhstanKuanysh Karabayev, Kanat Kulymbet, Ashirali Smanov, Gulbira AtashevaThis study evaluates the efficacy of the biological fertilizer BioEcoGum on corn yield and soil fertility under temperate climatic conditions at Karasai, Kazakhstan. The aim of this study was to assess the agronomic, soil, and economic effects of BioEcoGum application on corn (Zea mays L.) cultivated on light chestnut soils in southeastern Kazakhstan. A randomized block design was used, incorporating … …OnLine Journal of Biological Sciences, Vol. 25, Issue 4 · 9 Jan 2026 · 2,521 accessesView PDFCite
Research ArticleOpen accessIn the author namesA Hybridized BERT-Based Approach for Crime News Collection and Classification from Online NewspapersAshour Ali, Shahrul Azman Mohd Noah, Lailatul Qadri Zakaria, Saeed Amer Al AmeriCrime news analysis is crucial for understanding criminal activity, enhancing public safety, and informing policy decisions. The exponential growth and unstructured nature of online news articles, however, present significant challenges for efficient and accurate information extraction. This study aims to enhance the efficiency and accuracy of crime news data collection and classification through advanced Natural Language Processing (NLP) techniques and … …Journal of Computer Science, Vol. 21, Issue 9 · 16 Oct 2025 · 2,297 accessesView PDFCite
Research ArticleOpen accessIn the author namesPredicting Antigenic Peptides Using a Multi-Level Transformer Model with Enhanced Feature SelectionAshwini S., Minu R. I., Jeevan KumarThis Antigenic Peptide (APs) prediction is one of the most important roles to improve vaccine design and interpret immune responses. This paper develops a Multi-Level Pooling-based Transformer model, which improves the accuracy and efficiency of predicting T-cell epitopes. The model utilizes peptide sequences from the Immune Epitope Database, employing a refined Kolaskar and Tongaonkar algorithm for feature extraction and a … …Journal of Computer Science, Vol. 21, Issue 7 · 17 Jul 2025 · 3,451 accessesView PDFCite
Review ArticleOpen accessIn the author namesFrom Health to Disease: Functional Insights of Scavenger Receptor Class B Type I in Lipid Metabolism and Disease PathogenesisSujina Simon Sailet, Poornima Ajay Manjrekar, Santosh Rai et al.Scavenger receptor class B type I (SR-B1) has caught considerable interest among the scientific community due to its pivotal role in several biological and pathological processes. It is a multifunctional integral membrane protein and multiligand receptor encoded by the SCARB1 gene. SR-B1 has a wide distribution, primarily in the liver as well as steroidogenic organs including the gonads and adrenal … …OnLine Journal of Biological Sciences, Vol. 25, Issue 3 · 11 Jul 2025 · 3,672 accessesView PDFCite
Review ArticleOpen accessIn the author namesTherapeutic Potential of Medicinal Plants Grown in the Bundelkhand Region of India for Addressing Severe Non-communicable DiseasesNeelam Kashyap, Abha Sachan, Prakash Chandra et al.Herbal Medicines (HMs) have experienced exponential development in the past few years. Consequently, their natural origins and minimal side effects, the popularity of these medications is gradually growing across the globe. Ancient text Rigveda has well documented the remedial application of medicinal herbs for the management of a spectrum of disorders. Phytometabolites derived from plants are rich in bioactive agents, … …American Journal of Agricultural and Biological Sciences, Vol. 20, Issue 1 · 17 Jun 2025 · 6,958 accessesView PDFCite
Research ArticleOpen accessIn the author namesEnhanced Hybrid Spectrum Sensing Method Using TCDT and IEDT for Cognitive RadioNeha Chaudhary, Rashima Mahajan, Richa Adlakha et al.The development of efficient spectrum sensing techniques has witnessed progressive growth for optimum utilization of spectrum resources in cognitive radio. The primary objective of spectrum sensing is the identification and proper utilization of the spectrum holes. Nowadays, due to the advancement of wireless technologies, the demand for spectrum is also increasing and thus in turn, the requirement for better spectrum … …Journal of Computer Science, Vol. 20, Issue 11 · 20 Nov 2024 · 4,310 accessesView PDFCite
Research ArticleOpen accessIn the author namesAspect Category Detection Using Bi-LSTM-Based Deep Learning for Sentiment Analysis for HindiAshwani Gupta, Utpal SharmaIn the field of sentiment analysis, the notion of aspect category identification lays emphasis on identifying the aspect categories in a specific review phrase. The purpose of this research is to propose a novel approach to the identification of aspect categories in reviews that are published in Hindi. The training and evaluation of a supervised model that is based on … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Sep 2024 · 4,615 accessesView PDFCite
Research ArticleOpen accessIn the author namesThe Effect of the Transportation System and City Configuration on Sustainable Urbanization (Al-Bayda City as a Case Study)Aisha Bakar, Ashraf Fadiel, Taher Abu-LebdehDespite the persistent attempts on a global level to adopt sustainability in every aspect of city planning, the complex nature of city components and the presence of many factors and variables that affect the growth and development of cities make the adoption of a specific trend not an easy matter. It may be more appropriate to identify some important elements … …American Journal of Engineering and Applied Sciences, Vol. 17, Issue 2 · 19 Mar 2024 · 5,285 accessesView PDFCite
Research ArticleOpen accessIn the author namesFuel Prediction Model for Driving Patterns Using Machine Learning TechniquesManjunath TK, Ashok Kumar PSIn recent years, the demand for fuel efficiency has become a crucial aspect of the automotive industry. Predicting fuel economy accurately is essential for optimizing vehicle performance and reducing environmental impact. This proposed model presents a machine learning-based approach for developing a fuel prediction model using the real dataset. The model aims to predict fuel efficiency for different drivers by … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,488 accessesView PDFCite
Research ArticleOpen accessIn the author namesPropose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka VisualizationMagda Shuayb, Ashraf Fadiel, Taher Abu-LebdehThe aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 4 · 8 Jan 2024 · 4,892 accessesView PDFCite