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1977 articles for “identified” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Adaptive Reuse of Abandoned Industrial Structures for Healthcare Centres
Abstract: Adaptive reuse as an industry has been marketed as an expensive one. When it comes to the retail, hospitality, or domestic sectors, that is the case; however, the use of abandoned structures has been found to be cost-effective in the healthcare sector. This research paper aims to understand adaptive reuse in the context of the healthcare industry. It is a well-known fact that the worldwide epidemic drove the economy to …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 1, 2024 · pp. 01–08 Read article
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Fused Deposition Modelling-based 3D Printing: A Systematic Literature Review Employing VOS Viewer
Abstract: Fused Deposition Modelling, also known as FDM, has emerged as a major technology in the field of 3D printing. It provides adaptability and cost-effectiveness in the process of materializing intricate designs. This paper intends to conduct a complete bibliometric analysis (BA) of 3D printing based on fused deposition modelling (FDM) in order to comprehend the trend and research field. After extracting data from the Scopus database using the titles, abstracts, …
Published in Journal of Polymer & Composites · Vol. 11, Issue 12, 2023 · pp. 197–202 Read article
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Real Time Characterization of BA.2.86 and Its Variant (JN.1) in Senegal Using Midnight Protocol
Abstract: During the week ending August 13th, 2023, the most prevalent variant of interest (VOI), uploaded to GISAID, was the BA.2.86 variant. This SARS-CoV-2 Omicron lineage was described as the first phylogenetically distinct from the currently circulating SARS-CoV-2 Omicron XBB lineages, including EG.5.1 and HK.3. Compared to the XBB and BA.2 lineages, the BA.2.86 possesses more than 30 mutations in the Spike (S) protein, suggesting a significant potential for immune evasion. …
Published in International Journal of Vaccines · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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A Data-driven Approach to Sales Analysis
Abstract: Decisions made using data from digital sources are said to be data-driven when they are analysed and interpreted. Across many sectors, a data-driven approach is an effective technique for gaining insights, making wise choices, and guiding corporate strategy. This study covers the concept of data analytics in sales analysis of bakery and mess. It involves evaluating diverse types of information, including sales data, customer preferences, production costs, and supplier details. …
Published in Journal of Advanced Database Management & Systems · Vol. 11, Issue 1, 2024 · pp. 29–41 Read article
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Classifying Abnormalities in Heartbeat Sound
Abstract: Heartbeat sounds play a major role in the detection of various diseases such as heart disease, hyperthyroidism, and high blood pressure in their early stages. In the proposed method, various abnormal and healthy heartbeat audio signals are given as input and the features are extracted using MFCC (mel-frequency cepstral coefficients). Then, a deep learning approach is applied in which the MFCC audio signals are sent to the CNN (convolutional neural …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 24–31 Read article
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Effectiveness of Online Advertising in Reaching Target Audiences
Abstract: This study examines the effectiveness of online advertising in reaching target audiences. With the rapid growth of digital platforms, understanding the efficacy of online advertising has become paramount for marketers. Utilizing a combination of quantitative analysis and case studies, this research investigates the various strategies and channels employed in online advertising to reach specific demographic segments. By analyzing metrics such as click-through rates, conversion rates, and audience engagement, this study …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 2, 2024 · pp. 8–12 Read article
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DRIVE-DEFENDER: A Driver Safety-oriented Alcohol and Drowsiness Detection System
Abstract: DRIVE-DEFENDER presents a pioneering approach in driver safety through the development of a real-time machine learning system for alcohol detection. The detrimental impact of alcohol-impaired driving on road safety necessitates efficient detection mechanisms. Current methodologies are often hindered by their cost, invasiveness, and reliance on specialized sensors. DRIVE-DEFENDER utilizes a camera for recording the face of the driver in real time, employing image processing techniques to identify facial landmarks. These …
Published in Journal of Open Source Developments · Vol. 11, Issue 1, 2024 · pp. 15–26 Read article
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Root cause ananlysis of cost overrun in interior projects
Abstract: The construction industry is a path through which development of urban and rural India happens. The development of the project happens. The construction industry and its parties are associated with high degree of risk due to the nature of construction business activities, processes, environment and organization: Cost overrun is one of the most important problems in the construction one of the major problems faced by the construction industry is the …
Published in International Journal of Rural and Regional Development · Vol. 2, Issue 1, 2024 · pp. 11–21 Read article
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An Evaluation of CNN and SVM Algorithms for Facial Recognition
Abstract: With the use of facial recognition technology, someone's identity can be confirmed or identified. Real-time or picture-based facial recognition technology can be used to identify individuals. One of the most important elements in the field of biometric security is facial recognition. The technology is mostly used in the fields of law enforcement and defence, while interest in other fields is growing. To recognize the face, numerous technologies and algorithms were …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 1, Issue 2, 2023 · pp. 12–19 Read article
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Axial Compression Behavior of Aluminum (Al), Glass/Epoxy (GFRP) and Hybrid Al-GFRP Crash-box: An Experimental and Digital Image Correlation Approach
Abstract: The study aims to understand the axial compression characteristics and fracture of cylindrical Aluminum (Al), Glass/epoxy (GFRP) composite and Hybrid Al-GFRP crash-boxes. The hollow Al tubes are fabricated by rolling and bonding a thin aluminum sheet followed by rivet joints. The GFRP samples are manufactured using the wet-hand layup technique followed by the vacuum bagging method. Hybrid samples are manufactured by covering GFRP tubes with aluminum sheets on the outer …
Published in Journal of Polymer & Composites · Vol. 12, Issue 1, 2024 · pp. 304–313 Read article
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Violent Event Recognition and Monitoring Using Deep Learning for Surveillance Videos
Abstract: The significance of real-time capabilities in human detection and tracking is discussed in the abstract of the paper. We talk about tracking, eye detection, and face detection. A thorough motion detection program for use in video monitoring and other applications is suggested by the study. The goal of the study is to further human tracking technology. Optical flow features and appearance-invariant features from a Darknet CNN model are integrated. Acquiring …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 39–44 Read article
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Wind and Earthquake Mitigation: The Impact of Dampers on Tall Structures
Abstract: This paper provides an in-depth examination of the effects of both earthquake and wind loading on high-rise buildings situated across various terrain categories and seismic zones. The research underscores the critical importance of accounting for lateral loads in the design of reinforced concrete structures, as this consideration is essential for maintaining structural stability and ensuring the safety of occupants. The study focuses on identifying the critical design loads for multistory …
Published in Journal of Structural Engineering and Management · Vol. 11, Issue 2, 2024 · pp. 75–83 Read article
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Isolation, Purification and Characterization of Antimicrobial peptide produced by Saccharomyces boulardii №6569
Abstract: Object: To identify microorganisms that are newly isolated biologically and microbiologically and determine their characteristics by purifying AMP produced by yeast. Methods: We measured the antibacterial activity of AMP using microliquid dilution and turbidity methods and purified them using membrane filtration and gel filtration methods. The molecular weight of AMP produced by Saccharomyces boulardii was measured using Acquity UPLC SQD-2 and MS. Results: We confirmed that yeast-№18, identified biologically and …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 7–18 Read article
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EMERGING CHALLENGES IN RFID IN LIBRARY: A REVIEW
Abstract: A library is a living, breathing entity. Because of the advancement of the Internet and new information technology, library and information workers now have tremendous potential. RFID (Radio Frequency Identification), the pinnacle of ubiquitous computer technology, has long been the talk of the town and is employed by a variety of organizations, including libraries and information centers. RFID is a cutting-edge automated library technology that automatically identifies and tracks library …
Published in Journal of Advancements in Library Sciences · Vol. 11, Issue 1, 2024 Read article
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Potentials and Development of The Livestock Industry In Bole District
Abstract: Livestock production in the Bole District could be enhanced to supply the whole nation if the prospects and challenges are identified and addressed. It is carried out under extensive, semi-intensive and intensive systems. However, the extensive system is the most practiced, especially in the rural communities. This study tried to understand the possibility of expansion of the livestock industry in the district. The study employed location-specific assessment of the potentials …
Published in Research and Reviews : Journal of Veterinary Science and Technology · Vol. 13, Issue 1, 2024 · pp. 35–48 Read article
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Chemical Profile and Toxicity of Fresh and Dry leaves of the Essential Oils of Vetiveria zizanioides (L.) Nash. From Southwest Nigeria
Abstract: The fresh and dry leaves of Vetiveria zizanioides (L.) Nash (Gramineae) plant was collected, air dried and authenticated at the University of Ibadan Herbarium with voucher number: UIH-23237. The plant's dried, fresh leaves were hydro distilled in a Clevenger device to extract the essential oils. The oils were characterized by Gas Chromatography-Mass Spectrometry (GC – MS) while the toxicity of the essential oils was tested using brine shrimps’ lethality assay. …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 1, 2024 · pp. 44–49 Read article
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Productivity Improvement Using Kaizen-Muda Elimination
Abstract: In today's fiercely competitive business environment, achieving operational excellence and sustainable growth is paramount for organizations across diverse industries. The Kaizen philosophy, rooted in Japanese principles, offers a powerful framework for driving continuous improvement by systematically identifying and eliminating waste, or "muda." This paper explores the concept of Kaizen and its application in eradicating muda, paving the way for enhanced productivity, cost reduction, and a competitive advantage. Kaizen, which translates …
Published in International Journal of Industrial and Product Design Engineering · Vol. 2, Issue 1, 2024 · pp. 1–6 Read article
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Advancements in Drug Design Technology and Its Impact on COVID-19 Treatment
Abstract: The deadly coronavirus disease 19 (COVID-19) pandemic has recently spread, raising concerns about global health. The search for novel therapeutic compounds is made more necessary by the persistent problem of the absence of licensed medications or vaccinations. By saving money and time, computer-aided drug design has sped up the process of finding and developing new drugs. The structured-based and ligand-based drug discovery subcategories of computer-aided drug design (CADD) are the …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 1–15 Read article
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Precision Medicine for Neurofibromatosis Type 1: Progress and Prospects in Drug Discovery
Abstract: Objective: The development of neurofibromas, café-au-lait spots, and other neurological problems are the hallmarks of neurofibromatosis type 1 (NF1), a hereditary disorder. The dearth of efficacious pharmaceutical therapies underscores the need for novel therapeutic approaches, even in the face of clinical variability. Through very accurate prediction of the binding affinity of possible therapeutic drugs with the target protein, the computational technique known as “molecular docking” has become a potent tool …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 1, 2024 · pp. 01–15 Read article
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Time Series Sales Forecasting Using ARIMA Model
Abstract: Sales forecasting is a critical application in various industries and presents one of the most challenging problems worldwide. One method of prediction involves identifying patterns in historical data, where the outcome is known in advance and can be validated using more recent data. If a pattern consistently leads to the same outcome, it can be considered a genuine relationship. This method is highly flexible and can be utilized with diverse …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 17–27 Read article