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1983 articles for “Potentization” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Educating Compilers to Learn: Utilizing Machine Learning for More Brilliant Code Optimization
Abstract: This study explores the use of machine learning (ML) approaches to compiler optimization. The now-traditional static compilation techniques are transformed into adaptive, dynamic systems capable of making context-specific advancements. Traditional compilers rely mostly on heuristic or rule-based optimization techniques. While these techniques work well in general cases, they consistently fail to adapt well within the limits of code structures that modern machines display. This limitation is especially acute in today's …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 50–54 Read article
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AI-Powered Fire Detection System for Accurate and Timely Emergency Response
Abstract: AI-based fire detection system leverages deep learning and Open CV. Issues with conventional fire detection techniques include false alarms and expense. The proposed system uses deep learning for real-time fire detection in videos, enhancing accuracy and adaptability. OpenCV aids in crowd counting, improving situational awareness during emergencies. This innovation promises to revolutionize fire safety by offering timely and precise detection, potentially saving lives and property. Additionally, by counting crowds, the …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 30–36 Read article
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Sustainable Materials in Architectural Design: Case Studies of Carbon- Neutral Buildings
Abstract: The architectural sector is under growing pressure to lower its carbon footprint, mainly by reconsidering material selections, as the need to slow down climate change becomes more pressing. With an emphasis on creative material uses in numerous international architectural projects, this review article examines the vital role that sustainable materials play in creating carbon-neutral buildings. The need for alternative, low-carbon materials that may accomplish comparable performance levels with a less …
Published in International Journal of Architectural Design and Planning · Vol. 2, Issue 2, 2024 · pp. 70–74 Read article
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Antibiotics in the Modern Era: Challenges, Misuse, and the Fight Against Resistance
Abstract: Overuse and inappropriate use of antibiotics in human medicine, agriculture, and environmental pollution. It is one of the biggest public health risks of the 21st century. The discovery of new antibiotics slowdown and the emergence of multidrug-resistant (MDR) microorganisms has highlighted the urgent need to Creative approaches to fighting opposition. This review explores the current challenges in antibiotic use, the factors driving resistance, and the strategies being implemented to address …
Published in International Journal of Antibiotics · Vol. 2, Issue 1, 2025 · pp. 57–70 Read article
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Influence of Polymeric Materials on Osseointegration and Stability of Dental Implants: An In-vivo Resonance Frequency Analysis
Abstract: Osseointegration, the successful integration of dental implants with surrounding bone tissue, is crucial for long-term implant stability. Resonance frequency analysis (RFA) provides a valuable tool for assessing implant stability. This in-vivo study investigates the potential role of polymeric materials used in dental implants, such as surface coatings or membranes, in influencing osseointegration and RFA-measured stability. By analysing the impact of these polymers on factors like cell adhesion, proliferation, and differentiation …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 1051–1057 Read article
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Genetic Variability and Statistical Methods: Key Insights for Computational Genetics Research
Abstract: Genetic variability, defined as the differences in DNA sequences among individuals, serves as the foundation of evolutionary biology and plays a pivotal role in species’ adaptability, resilience, and overall survival. Advances in genomic technologies, particularly high-throughput sequencing, have enabled unprecedented exploration of genetic diversity, fostering the growth of computational genetics. This interdisciplinary field combines statistical methods and computational tools to analyze genetic data, identify patterns, and link phenotypes to genotypes. …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 19–23 Read article
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Isolated Bidirectional Flyback Converter in EV Charging and V2G Systems: A State-of-the-Art-Review
Abstract: The growing adoption of electric vehicles (EVs) and the potential of Vehicle-to-Grid (V2G) technology underscore the importance of efficient and reliable isolated bidirectional DC-DC converters in EV charging systems. The market for electric vehicles (EVs) is expanding at an exponential rate due to the worldwide trend towards sustainable transportation, with electric mobility emerging as a crucial way to lower carbon emissions and rely less on fossil fuels. This review examines …
Published in International Journal of Electrical Power and Machine Systems · Vol. 2, Issue 2, 2024 · pp. 23–32 Read article
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Neuroinformatics and Its Impact on the Future of Brain-Computer Interface Technology
Abstract: Neuroinformatics, a multidisciplinary field combining neuroscience, information technology, and data science, plays a crucial role in advancing brain-computer interface (BCI) technology. By leveraging large-scale neural data, machine learning algorithms, and computational models, neuroinformatics enhances our understanding of brain function and improves the design and development of BCIs. The integration of neuroinformatics into BCI systems offers new possibilities for interpreting complex brain signals, facilitating real-time communication between the brain and external …
Published in Research and Reviews : Journal of Computational Biology · Vol. 13, Issue 3, 2024 · pp. 9–18 Read article
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Optimizing Image Processing with Verilog on FPGA: Techniques and Performance Enhancements
Abstract: The integration of image processing algorithms into hardware platforms, particularly FPGAs, presents a compelling opportunity for achieving high performance, low latency, and power efficiency in real-time applications. This study focuses on designing and implementing Verilog HDL-based optimal image processing methods for FPGA-based systems. The study explores the development of core algorithms, including edge detection, image enhancement, and adaptive filtering, to maximize resource utilization and processing speed on hardware platforms. Key …
Published in Journal of Semiconductor Devices and Circuits · Vol. 11, Issue 3, 2024 · pp. 46–53 Read article
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Assessment of Physico-Chemical and Microbial Analyses of Hand Dug Wells in Makeni Town, Sierra Leone
Abstract: The various water samples were analysed for residual chlorine, ammonia, fluoride, nitrate, sulphite, lead, arsenic, chromium, and bicarbonate levels from January to August 2024. The bacteria contamination was investigated to determine the safety of the water for the consumption of human. The temperatures across the four wells ranged 27.3oC to 30.0oC, with and average values ranging from 27.94oC to 29.15oC. pH values were within the WHO recommended guidelines range of …
Published in International Journal of Pollution: Prevention & Control · Vol. 2, Issue 2, 2024 · pp. 01–13 Read article
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Production of Bio-Ethanol from Mixed Fruit Pulp
Abstract: Speedy depletion and the continuously increasing cost of fossil fuels, is forcing the world to switch to renewable energy and perennial fuels. Among the different sources of renewable energy, bio-ethanol appears as a potential bio-fuel, which could be produced by a variety of biomasses available in abundance. This article mainly focuses on the utilization of completely waste mixed fruit pulp for bio-ethanol production. Bio-ethanol was extract from waste mixed fruit …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 3, 2024 · pp. 55–61 Read article
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Production of n-Butanol from Biomass by Two Step Fermentation Process Using Staphylococcus Sciuri
Abstract: This study explores the sustainable production of n-butanol from wheat husk through a two-step bioconversion process. Wheat husk, an abundant agricultural residue, was first fermented into butyric acid using Bacillus subtilis. The resultant butyric acid was then converted into n-butanol using Staphylococcus sciuri. The process leverages biological fermentation to create value-added chemicals from lignocellulosic biomass, offering an eco-friendly alternative to petrochemical methods. Two steps fermentation process were carried to increase …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 18–31 Read article
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In vitro and In vivo Trypanocidal Activity of Methanolic Extract of Lantana camara leaves on Trypanosoma brucei in Laboratory Mice
Abstract: In this study, the methanol extract of Lantana camara leaves were tested for their trypanocidal activity in vitro in a microtiter plate and in vivo using male laboratory mice. Five different concentrations 10mg/ml, 20 mg/ml, 30 mg/ml, 40mg/ml, and 50mg/ml of the extract were prepared and the time taken to immobilize the parasites were recorded. The in vitro results showed that the leave extract at concentrations of 50 mg/ml had …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 32–41 Read article
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A Comprehensive Review on Pharmacological Properties of Coumarins
Abstract: Coumarins are a diverse group of secondary metabolites found in a variety of plant species (over 1200 different coumarins have been identified from natural sources, especially plants), as well as in fungi and microorganisms. Coumarin is a simple, widely occurring chemical structure in nature, present in many plants, fungi, and bacteria. In recent years, these natural compounds have attracted growing interest from the scientific community due to their broad spectrum …
Published in International Journal of Biochemistry and Biomolecule Research · Vol. 2, Issue 2, 2024 · pp. 12–17 Read article
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Deep Learning Meets IoT: Hybrid Approaches for Botnet Detection
Abstract: Rapid advancement in the Internet of Things (IoT) changed everything, making it possible for seamless interconnectivity of devices and altering data-driven decision processes. This study delves into the intersection of IoT with deep learning approaches and hybrid approaches for managing botnet in IoT systems, especially security, efficiency, and performance optimization. Leveraging deep learning models, for example, CNNs and RNNs, will help the network achieve more intrusion detection and data analysis. …
Published in Recent Trends in Electronics Communication Systems · Vol. 12, Issue 1, 2025 · pp. 18–27 Read article
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Comparative Efficacy of Hybrid Capture 2 and Real-Time PCR in Detecting High-Risk HPV Genotypes for Cervical Cancer Screening
Abstract: Human papillomavirus (HPV) infection is a leading cause of cervical cancer, making early detection critical for effective prevention and treatment. Among the diagnostic methods available, Hybrid Capture 2 (HC2) and Real-Time Polymerase Chain Reaction (PCR) are widely used for detecting high-risk HPV genotypes, particularly HPV 16 and 18, which account for the majority of cervical cancer cases. This review aims to compare the efficacy of HC2 and Real-Time PCR in …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 13–17 Read article
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Recent Advances in Content-based Image Retrieval: Techniques and Applications
Abstract: Content-based image retrieval (CBIR) plays a vital role in computer vision, driven by the increasing need for fast and accurate image retrieval across fields like healthcare, e-commerce, and digital libraries. This study offers a detailed review of CBIR methodologies, charting their progression from traditional feature extraction techniques, such as Local Binary Patterns (LBP), to contemporary deep learning-driven methods. The transformative impact of convolution neural networks (CNNs) is highlighted, emphasizing their …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 67–71 Read article
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Design of Optimized Full Adder using Noise-Mitigation Techniques and Power Gating
Abstract: With the advent of nanoscale technology, a new era of power consumption, speed, and reliability challenges for traditional static CMOS logic has begun. To solve these problems, dynamic logic families—particularly domino logic—have emerged as potent substitutes that offer quicker processing speeds and lower power consumption. The design and optimization of a full adder circuit using domino logic is shown in this study. A dynamic domino logic technique is used to …
Published in Journal of Microelectronics and Solid State Devices · Vol. 11, Issue 3, 2024 · pp. 1–6 Read article
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Need for Inclusive Education for Behavioral Difficulties Students
Abstract: Behavior difficulties during childhood and adolescence can have immediate consequences on the educational setting, scholastic performance, and social growth of children. Research indicates that students with behavioral issues have lower academic performance and poorer relationships. Teachers may experience stress from these behaviors and confrontation with parents. Long-term negative results include unemployment, mental health issues, and increased societal expenses. The current study examines the behavioral challenges faced by students through five …
Published in International Journal of Community Health Nursing And Practices · Vol. 2, Issue 2, 2024 · pp. 27–32 Read article
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Recent Developments in Structural Genomics: Uncovering Cellular Functions
Abstract: Structural genomics has become a groundbreaking field for understanding cellular functions by revealing the three-dimensional structures of proteins and other biomolecules. This field combines advanced methods like X-ray crystallography, nuclear magnetic resonance spectroscopy, cryo-electron microscopy, and computational modeling to explore the molecular structure and behavior of cellular components. Recent advances have significantly accelerated the pace of structure determination, bolstered by high-throughput methods and artificial intelligence tools like AlphaFold. These developments …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 2, Issue 2, 2024 · pp. 30–35 Read article