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Research ArticleOpen accessIn the keywordsFrom Subhiksha (Prosper) To Iksha (Perspire): The Topsy-Turvy Story of Indian Retail Business ModelH.M. Jha Bidyarthi, Ashish K. Srivastava, P.V. Bokad, Mayur A. DandeProblem statement: To examine the factors that led to inception, high growth and sudden closure of Indian business ventures in upcoming sectors in a short span of less than 10 years. Approach: An IITian and an IIM-A grad (India’s top notch academic institution) set up one of the largest Indian retail chain named Subhiksha Trading services Pvt. Ltd. in 1997 … …American Journal of Economics and Business Administration, Vol. 2, Issue 2 · 30 Jun 2010 · 7,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Transformer Based Model to Detect Environmental Related Distress on Online Social MediaUtkarsh Sharma, Prateek Pandey, Shishir KumarOnline social media has been recently employed as the source of data for the detection of traffic-related activities and to control the flow of traffic in smart cities all over the world. Till now an ample amount of research work has been done in identification of traffic-related incidents with the help of online social media platforms (mostly Twitter). Along with … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 475 accessesView PDFCite
Research ArticleOpen accessIn the abstractMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,117 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Approach to Query Reformulation in Cross Lingual Information Retrieval Emphasizing Term PlacementAmit Asthana, Sanjay K. DwivediThe effectiveness of retrieving relevant information is often hindered by ambiguous and short queries, compounded by often imprecise initial translation in Cross Lingual Information Retrieval (CLIR). These limitations are still a challenge for Query Reformulation (QR) techniques, which primarily focus on selecting effective expansion terms but generally neglect the impact of determining their optimal placement within the query. This paper … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,662 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Ambulances for IoT Based Accident Detection, Tracking and ResponseAmreen Ayesha, Komalavalli ChakravarthiOne of the main reasons for death among young people in the current era is based on road accidents. The goal of current research on accident detection systems is to shorten reporting times, increase accident detection accuracy and address them through our modern technology. Our primary goal is to recommend a system that can successfully aid in preventing any kind … …Journal of Computer Science, Vol. 19, Issue 6 · 12 May 2023 · 6,333 accessesView PDFCite
Research ArticleOpen accessIn the abstractA GPU-Based Genetic Algorithm for the Multiple Allocation P-Hub Median ProblemAchraf Berrajaa, Ayyoub El Outmani, Abdelhamid BenainiAs the sizes of realistic hub location problems increase as time goes on (reaching thousands of nodes currently) this makes such problems difficult to solve in a reasonable time using conventional computers. This study aims to show that such problems may be solved in a short computing time and with high-quality solutions using the computational power of the GPU (actually … …Journal of Computer Science, Vol. 19, Issue 5 · 28 Apr 2023 · 6,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractExtended Fuzzy Decision Support Model for Cropland Recommendation of Food Cropping in IndonesiaLucky Christopher Chen, Nurcahyo Wibowo, Ditdit Nugeraha UtamaFood crops are the preferred crops to be cultivated on agricultural land in Indonesia, which has a wide area available for use as agricultural land. Each region’s agricultural lands in Indonesia have distinct features (e.g., water capacity, land porosity, land height, etc.). Rice, maize, red beans and green beans are significant food crops that are commonly cultivated in Indonesia. The … …Journal of Computer Science, Vol. 17, Issue 8 · 8 Sep 2021 · 6,507 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis of Land Use and Land Cover Changing Patterns of Bangladesh Using Remote Sensing TechnologyMd. Mahmudul Hasan, Rashidul Islam, Md. Saifur Rahman et al.Bangladesh is a deltaic country situated in the fringe of Bay of Bengal. Land Use and Land Cover (LULC) change is the concerning issue in the present world. Bangladesh is highly vulnerable to LULC changes due to its geographical location and shortage of awareness that’s why author conduct this research. The research was focused on analysing the LULC changes pattern … …American Journal of Environmental Sciences, Vol. 17, Issue 3 · 26 Aug 2021 · 10,123 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Architectural Irregularities on the Seismic Behavior of BuildingsSara Mostafa Karra, Iman Hajal, Youmn Al Rawi, Aya DiabCooperation between the architect and the civil engineer has nowadays become essential in any project for the client’s requests’ sake. This study was made to show this idea’s importance and beneficial consequences. For this purpose, a 40-story dual-system high-rise building has been designed to resist moderate seismic and high wind loads. Three main models were formed: Starting with the net … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 24 Apr 2021 · 6,782 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comparison between Conditional Random Field and Structured Support Vector Machine for Arabic Named Entity RecognitionMarwa Muhammad, Muhammad Rohaim, Alaa Hamouda, Salah Abdel-MageidThe Named Entity Recognition (NER) is an integrated task in many NLP applications such as machine translation, Information extraction and question answering. Arabic is one of the authorised spoken languages in the united nation. Currently, there is much Arabic information on the internet, so, nowadays the need for tools which process this information becomes significant. In this study, we have … …Journal of Computer Science, Vol. 16, Issue 1 · 30 Jan 2020 · 8,120 accessesView PDFCite