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1223 articles for “insights”
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An Experimental Investigation on Surface Roughness of Laser Beam Machining of Aluminium Alloy
Abstract: Laser beam machining (LBM) is a cutting-edge technique widely utilized for precision machining of advanced materials. This experimental investigation focuses on the surface roughness of aluminum alloy (Al 6061) during LBM. The study systematically examines the impact of process parameters such as laser power, cutting speed, and gas pressure on surface roughness (Ra). The significance of surface roughness in determining the quality and functionality of machined components is emphasized. The …
Published in Journal of Polymer & Composites · Vol. 12, Issue 6, 2024 · pp. 82–104 Read article
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Harnessing Microbial and Phytoremediation Techniques for Sustainable Remediation of Heavy Metals in Black Cotton Soils
Abstract: Black cotton soils, renowned for their fertility and moisture retention capabilities, face significant challenges due to heavy metal contamination, posing threats to both agricultural productivity and environmental integrity. This review paper presents a comprehensive overview of bioremediation strategies aimed at mitigating heavy metal pollution in black cotton soils. The paper underscores the importance of addressing heavy metal (HM) contamination, emphasizing the need for exploring bioremediation techniques, as it sets the …
Published in Journal of Polymer & Composites · Vol. 12, Issue 5, 2024 · pp. 193–201 Read article
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Optimizing Economic Load Dispatch in a 10-Unit System Using the SSA Method
Abstract: The optimization of economic load dispatch (ELD) in a 10-unit power system employing the social spider algorithm (SSA) method is reported. ELD is a critical aspect of power system operation, aiming to allocate the power generation among multiple units efficiently while meeting the demand at the lowest possible cost. The SSA method, inspired by the collaborative behavior of social spiders, demonstrates its efficacy in solving optimization problems. In this research, …
Published in Trends in Electrical Engineering · Vol. 14, Issue 3, 2024 · pp. 1–13 Read article
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Gene Annotation of Cancer Vaccine for Homo sapiens
Abstract: Objectives: Gene annotation helps us to deduce the structural and functional aspects of a gene that encodes for a functional protein in our body. Thus, by determining the coding sequence and gene location we can derive meaningful insights as to what these genes do in our body. In this study, an unknown gene, cancer vaccine for Homo sapiens has been studied and annotated. Methods: This study was based on a …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Flares and Fields: Sun's Impact on Earth
Abstract: This paper delves into the multifaceted motivations driving the study of the Sun, exploring its pivotal role in shaping Earth's climate, influencing space weather dynamics, and serving as a key astronomical entity in our cosmic neighborhood. Investigating the Sun as a physical laboratory, the discussion unfolds the intricate processes of nuclear fusion and magnetic fields, unveiling technological and research pursuits with potential applications in clean energy and space exploration. Examining …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 3, 2024 · pp. 1–12 Read article
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Augmented Reality Based Wrist Scan Watch App
Abstract: Augmented reality (AR) has emerged as a transformative technology with profound implications for various industries, including fashion retail. In this context, the development of the AR wrist scan watch application represents a significant advancement, offering consumers an engaging and immersive way to virtually interact with timepieces before making purchase decisions. This research paper delves into the intricate process of creating such applications using Unity, a versatile game engine, and Vuforia, …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 3, 2024 · pp. 1–11 Read article
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Blockchain from the Cryptographic Perspective of Privacy and Anonymization for Sustainability
Abstract: This paper delves into the fascinating intersection of cryptography and blockchain technology. It explores the implementation of blockchain in cryptography, highlighting how cryptographic algorithms improve the security of blockchain systems. This paper looks at various issues such as why cryptographic methods in use with blockchain networks guarantee data security, confidentiality, and credibility. It also examines the relationship between consensus algorithms and cryptography, shedding light on how these elements work together …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 13–30 Read article
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Synthesis, Characterization, and Reactivity of Bivalent Tin(II) with 4-Tert-butylphenol
Abstract: Bivalent tin(II)-4-tert. butylphenoxide of composition Sn(OC6H4X-4)2(I), where X = But, has been synthesized by the reaction of stannous chloride (SnCl2) with bimolar amounts of 4-tert. butyl phenol (HOC6H4But-4) in the presence of the base, diethyl amine, in tetrahydrofuran (THF) solvent. The resulting complex was characterized by elemental analysis, molecular weight determination, molar conductance measurement, IR, and 1H NMR spectral studies. The reactivity of the newly synthesized complex (I) with HgCl2 …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 1, 2024 · pp. 14–19 Read article
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Edge Computing in IoT: Challenges and Opportunities for Engineers
Abstract: The internet of things (IoT) has revolutionized how we interact with our environment, collect data, and make decisions. However, the exponential growth of IoT devices has led to significant challenges in data processing, latency, and bandwidth usage. Edge computing provides an effective solution to these issues by bringing computation and data storage nearer to the source of data generation. This paper provides a comprehensive exploration of the challenges and opportunities …
Published in Journal of Communication Engineering & Systems · Vol. 14, Issue 3, 2024 · pp. 14–19 Read article
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Asymptotic Notations: A Review
Abstract: Asymptotic notations play a fundamental role in assessing the efficiency and performance of algorithms, particularly as input sizes grow larger. This paper delves into three key asymptotic notations: Big O, Theta, and Omega, which are essential for understanding the upper, average, and lower bounds of an algorithm’s runtime. Big O notation specifically helps in determining the worst-case scenario of an algorithm’s growth rate, providing an upper bound on time or …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 17–33 Read article
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Advanced Document Query System
Abstract: For knowledge-intensive businesses, large document libraries contain a plethora of information. Massive, chaotic, collections of documents that are unstructured have emerged from this rapid increase. Even if accessing or storing these documents has become easier, finding the required critical information in these vast document collections has become more difficult. NLP (natural language processing) is one of the techniques used to retrieve the information that is required from a huge chunk …
Published in International Journal of Computer Science Languages · Vol. 2, Issue 2, 2024 · pp. 26–35 Read article
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Comparative Analysis of Data Augmentation Techniques in CNN-based Classification of Atelectasis
Abstract: This research delves into the critical issue of atelectasis, its causes, and potential complications if left untreated. Leveraging deep learning algorithms, particularly convolutional neural networks (CNN), the paper explores their application in medical image analysis, focusing on the detection of atelectasis using the “chestX-ray8” database. The study compares various data augmentation techniques for improved accuracy, showcasing the importance of augmentation in enhancing model generalization. Through meticulous experimentation and evaluation, the …
Published in Journal of Microwave Engineering and Technologies · Vol. 11, Issue 3, 2024 · pp. 1–8 Read article
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Experimental Study on the Wear Mechanisms of Cutting Tools in High-Performance Machining
Abstract: Because high-performance machining (HPM) may increase output and improve product quality, it is essential for modern production. The quick wear of cutting tools under high-stress circumstances, however, presents serious difficulties that affect surface smoothness, tool life, and cost-effectiveness. Through an analysis of the impacts of cutting speed, feed rate, tool material, and cooling techniques, this work explores the wear processes impacting cutting tools in HPM. Advanced spectroscopy and microscopy procedures …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 9–14 Read article
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Renewable Solar Energy Prediction in India : 2025-2030
Abstract: As India endeavors to realize its objective of achieving 500 GW of renewable energy capacity by the year 2030, the precise forecasting of solar power generation is rendered increasingly essential. This scholarly article conducts a comprehensive review of the utilization of machine learning (ML) methodologies in the prediction of solar energy across diverse Indian states, underscoring their potential to address the complexities associated with the variability of solar irradiance. Conventional …
Published in Journal of Power Electronics and Power Systems · Vol. 14, Issue 3, 2024 · pp. 41–46 Read article
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Geochemometric Assessment of Primordial Radionuclides and Trace Elements in Coastal Sediments: Environmental and Radiological Implications for South India
Abstract: This study focuses on environmental radioactivity and trace element contamination in coastal sediments along the southern region of the Indian subcontinent, from the Palar River to Pulicat Lake. Utilizing gamma-ray spectroscopy with a NaI (Tl) detector, along with atomic absorption spectroscopy, the research examines the spatial distribution and activity concentrations of primordial radionuclides—namely, 238U, 232Th, and 40K—as well as trace elements such as Ni, Pb, Mn, Zn, Cu, Co, Fe, …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 33–37 Read article
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CBCT: A Boon in Periodontics – A Review
Abstract: Periodontal disease is an inflammatory disease that can be diagnosed mainly based on clinical signs and symptoms. Two-dimensional radiographs are valuable diagnostic tools as an adjunct to the clinical examination in assessing periodontal bone level. Two-dimensional images do not provide accurate bone levels due to its limitations like projection geometry, superimposition of adjacent anatomic structures, leading to the need for three-dimensional imaging that overcomes these limitations. The diagnosis and treatment …
Published in Research and Reviews: A Journal of Dentistry · Vol. 15, Issue 3, 2024 · pp. 7–13 Read article
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Harnessing Nature: Formulations for Colon Cancer Prevention and Treatment
Abstract: Colon cancer, a rapidly advancing disease worldwide, involves the carcinogenesis of the distal part of the intestine. This malignancy progresses through various developmental stages necessitating diverse treatment approaches. Traditional treatments include drug therapy and chemotherapy; however, emerging methods, such as the use of phytochemical compounds offer promising mechanisms for combating this disease. Phytochemical compounds derived from natural food sources, including flavonoids, tannins, resveratrol, and epigallocatechin-3-gallate, exhibit potent anti-cancer properties. They …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 14, Issue 3, 2024 · pp. 11–23 Read article
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Advanced Computational Models for Predicting Molecular Interactions
Abstract: Understanding molecular interactions is essential for a number of disciplines, including biochemistry, materials science, and medication development. Traditional experimental methods, while accurate, are often time-consuming and expensive. Advanced computational models have emerged as powerful tools to predict molecular interactions efficiently. In order to predict the behavior and interactions of molecules at the atomic and subatomic levels, this paper reviews the most recent developments in computational techniques, such as machine learning …
Published in International Journal of Advance in Molecular Engineering · Vol. 2, Issue 1, 2024 · pp. 8–13 Read article
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Counter Terrorism Prediction and Risk Evaluation (C-TRIP)
Abstract: The global landscape in the 21st century is marked by complex and evolving security challenges, none more pressing than the threat of terrorism. Acts of terror have left a profound impact on societies, economies, and governments worldwide, underscoring the critical importance of effective counter terrorism strategies. The “Counter Terrorism Prediction and Risk Evaluation (C-TRIP)” represents a significant stride in addressing this ever-pressing challenge. In a time marked by global security …
Published in International Journal of Information Security Engineering · Vol. 2, Issue 2, 2024 · pp. 14–24 Read article