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7057 articles
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A New Method of Unicellular Alga Concentration using Hydrogen Bubbles Photoelectroflotation Process Powered by Solar Energy
Abstract: Most of the existing unicellular algae are used to enrich closed ecosystems with pure oxygen in the process of biosynthesis. The concentrate of unicellular algae contains not only living cells, but also the full range of water-soluble metabolites, contained in their nutrient medium. The concentrate of unicellular algae can be used in any existing animal feeding systems, as well as in the production of granular feed. The most interesting is …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 1–16 Read article
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Terrace Garden - Alternative for Passive Cooling
Abstract: Rising development of concrete jungles has questioned the sustainability and ecological aspect of many cities and even countries. The paper bridges the gap on how a single green element – a terrace garden helps in dealing with this crisis and harness the concept of sustainability. Urban greenery and urban landscaping, is a growing trend and using these terraces as an aesthetic aid is one of the wide range benefits it …
Published in International Journal of Construction Engineering and Planning · Vol. 9, Issue 1, 2023 · pp. 9–29 Read article
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Cow’s milk trigger for type 1 diabetes
Abstract: Diabetes is an autoimmune, metabolic disorder that occurs when the pancreas stops producing insulin hormones. Type 1 diabetes or juvenile diabetes may occur genetically due to viral infection, vitamin D deficiency and environmental factors. Cow’s milk protein is one of the causes for type 1 diabetes. Casein protein which is found in the cow’s milk is responsible for production of antibodies bovine β–lacto globulin. Such antibodies destroy the β cell …
Published in International Journal of Animal Biotechnology and Applications · Vol. 9, Issue 1, 2023 · pp. 33–49 Read article
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Physico-Mechanical Performance of Waste Plant Fiber Reinforced Thermoplastic Composites for Automotive Applications
Abstract: To maximize the interfacial bond strength, it is necessary to investigate the direct relationship between the degree of fiber-matrix adhesion and the mechanical and fracture behavior of composites. In this work, the strength of the interfacial bond between polypropylene (PP) and waste plant fiber (Dharose plant fiber, DF) that have been subjected to ultraviolet radiation (UV) was established. By using hot press molding, unidirectional composites of PP with dharose plant …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 1, 2023 · pp. 14–24 Read article
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To Assess the Accuracy, Sensitivity and Specificity of Fetal Heart Rate (FHR) and Uterine Activity (UA) from Abdominal ECG and EMG Electrodes in Comparison with Conventional Cardiotocography (CTG) Machine
Abstract: Background: FHR and UC are two vital parameters that need to be monitored during the intrapartum period which can help reduce death from preventable causes during the intrapartum period. CTG is the currently used tool for intrapartum monitoring, but being expensive, bulky, and dependent on skilled healthcare workers for interpretation of results makes it unsuitable for use in healthcare settings. KEYAR is an affordable, portable, wearable, and easy to use …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 9, Issue 1, 2023 · pp. 13–23 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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Predictive Brain Cancer Detection and Treatment Using Machine Learning and Artificial Intelligence
Abstract: Through the combination of Big Data and the computer science discipline of machine learning, significant insights may be gained. Machine learning may now be utilized to anticipate nearly any result based on any capability thanks to developing technology. By analyzing underlying patterns in the data, machine learning creates an appropriate model. Every day, medical sciences must overcome new obstacles, such as patients' lack of knowledge about the ailments they are …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 28–39 Read article
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Tuning Superconductivity in ABO3 Type Multiferroic Nanocrystals
Abstract: We present a suitable ways for tuning superconductivity in type multiferroics nanocrystals. It is seen that as a smart materials, multiferroics nanocrystals present distinguishing properties including ferroelectricity, piezoelectricity, ferrotoroids, magneto electrics and ferromagnetism. The reasons for the existence of multiferroicity are interactions of photons with these analytic molecules, electron doping and crispr, which adds or alters the electronic, optical and magnetic properties dramatically. It is clarified that the existence of …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 9, Issue 1, 2023 · pp. 5–17 Read article
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Experimental and Numerical Study of Smoke Flow Dynamics in a Scaled down Model of an Underground Car Parking Area by Using Jet Fan Ventilation System
Abstract: An underground car parking area is a feature of most residential complexes, malls, and even offices. It is a principle design for most buildings. The aim of this study is to understand the smoke low dynamics with impulse jet fans in an underground car park. An underground car park requires a ventilation system that takes into account the importance of air circulation which demands the removal of harmful pollutants from …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 9, Issue 1, 2023 · pp. 19–34 Read article
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Development of Smart Strips in The House for Safety Monitoring
Abstract: The safety monitoring of residential premises has emerged as a subject of significant interest among numerous researchers. The exploration of effective methods and technologies for ensuring the safety of residential spaces has garnered considerable attention and continues to be a focal point of research efforts.. Moreover, this monitoring and control are greatly facilitated these days with the advancement in wireless data transmission technology. A smart Wireless sensor network is the …
Published in International Journal of Construction Engineering and Planning · Vol. 9, Issue 1, 2023 · pp. 30–38 Read article
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Investigation of Root Cause of Fuel Tanker Truck Accident in Nigeria Resulting from Constrain Factors
Abstract: The research demonstrates the investigation of reliability of root cause of fuel tanker truck accident in Nigeria resulting from some constrain factors. The constrain factors considered are age group, ownership status of fuel tanker trucks, drivers’ educational qualification and drivers’ years of experience and the states considered in this research are Lago State (Lagos Park) and River State (Port Harcourt). The study reveals age distribution of drivers in the following …
Published in International Journal of Chemical Separation Technology · Vol. 9, Issue 1, 2023 · pp. 23–27 Read article
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Examination of Root Cause of Fuel Tanker Truck Accident in Nigeria: The Concept of Reliability of Non-Human Factor
Abstract: The non-human factor in terms of fuel tanker truck accident in some area of Nigeria was investigated to know the root cause as well the contributing factors and to project the way forward to mitigate the menace, because at the end human life are lost. This investigation was addressed by applying the concepts of reliability, probability and relative accident consequence, in which the mean time between accident, accident rate and …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 1, 2023 · pp. 1–10 Read article
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The Revolution of Renewable Energy: Addressing Climate Change with Environmentally Friendly Technologies
Abstract: The use of renewable energy is undergoing a revolution as a vital solution to the urgent problem of climate change. The urgent necessity to move towards ecologically friendly technologies has significantly increased as the negative impacts of greenhouse gas emissions become more and more obvious. new developments in renewable energy and its impact on combating climate change. It draws attention to the transformative potential of clean technologies like geothermal, hydro, …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 9, Issue 1, 2023 · pp. 23–28 Read article
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Studies on the External Genitalia of Some Species of Moths of Family Geometridae (Lepidoptera) of Morni Hills, Haryana
Abstract: The present work is a comprehensive study that aims to investigate the external genitalia of male geometrid moths collected from Morni Hills, Haryana. The study is divided into several sections, including an introduction, a review of literature, material and methods, observations, a conclusion, and references. The introduction begins by providing an overview of the family Geometridae and its characteristics. The name of the family is derived from the ancient Greek …
Published in International Journal of Animal Biotechnology and Applications · Vol. 9, Issue 1, 2023 · pp. 50–62 Read article
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In silico evaluation for the repurposing of antiviral drugs towards multiple targets of monkey pox viral disease
Abstract: Objective: Monkeypox is a growing public health problem. The disease is caused by the monkeypox virus. The latest epidemic has been linked to previously unknown mutations and variations. Tecovirimat is a poxvirus medication that has been licenced by the US Food and Drug Administration (FDA). Otherwise, there is little pharmacopoeia and scientific interest inmonkeypox. Computational screening and molecular interactions were used in this work to investigate the possible repurposing of …
Published in International Journal of Animal Biotechnology and Applications · Vol. 9, Issue 1, 2023 · pp. 22–32 Read article