Search
454 articles for “Prediction”
-
Velocity and Concentration Distribution of Turbidity Currents
Abstract: AbstractThis study conducts a comprehensive analysis of the velocity and concentration characteristics withinturbidity currents, focusing on detailed evaluations of the hydrodynamic and sediment transportproperties. The investigation includes separate calculations for the velocity and concentrationdistributions within the near-boundary and jet regions, allowing for an in-depth comparison betweenthese distinct flow areas. By computing dimensionless profiles of both velocity and concentration, thestudy offers a visual representation of flow behaviors and sediment patterns, which …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 2, 2024 · pp. 15–22 Read article
-
Hybrid Cryptographic Framework for Cloud Data Security: Integration of AES-OTP, RSA, and Temporal Access Control Mechanisms
Abstract: This generation of cloud computing has characterized the Internet of Things with exponentially increasing data generation, processing, and storage. Regrettably, however, accompanying this trend of growth is the increased concern for cloud-based systems about security, privacy, and control of access to data. The proposed work introduces a hybrid cryptographic framework that combines AES, OTP, and RSA encryption methods with temporal mechanisms to enhance the security of data in the cloud. …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 2, 2024 · pp. 1–6 Read article
-
A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
-
BAYESIAN ANALYSIS OF BIRD OVOMUCOID: INFERRING EVOLUTIONARY DYNAMICS AND PHYLOGENETIC RELATIONSHIPS.
Abstract: Objective: Ovomucoid is a serine protease inhibitor discovered in bird eggs that not only protects embryos but also has phylogenetic significance due to its potential usage as a molecular marker. They are glycoproteins that have antibacterial efficacy because they inhibit bacterial proteolytic enzymes that are essential for microbiological development. This study makes use of DNA sequence data to rebuild evolutionary connections among bird species. Methods: Over the past decade, the …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
-
BAYESIAN ANALYSIS OF BIRD OVOMUCOID: INFERRINGEVOLUTIONARY DYNAMICS AND PHYLOGENETIC RELATIONSHIPS.
Abstract: Objective: Ovomucoid is a serine protease inhibitor discovered in bird eggs that not only protects embryo but also has phylogenetic significance due to its potential usage as a molecular marker. They are glycoproteins that have antibacterial efficacy because they inhibit bacterial proteolytic enzymes that are essential for microbiological development. This study makes use of DNA sequence data to rebuild evolutionary connections among bird species.Methods: Over the past decade, the incorporation …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 Read article
-
Customer preferences in adopting AI in their building designs: A Perspective case study from Saudi Arabian architects
Abstract: Recent AI advances have improved Saudi building design inventiveness, efficiency, and cultural sensitivity. Automating tedious activities like image resizing and layout optimization with AI helps designers focus on novel concepts. AI may assess client preferences and society conventions to assist designers adapt their ideas to local cultural values, making architectural development projects more appealing. Even though it has many advantages, artificial intelligence in architecture is confronted with several challenges. The …
Published in International Journal of Architecture and Infrastructure Planning · Vol. 10, Issue 2, 2024 · pp. 25–40 Read article
-
Application of Monod Equation and First Order RateKinetics for the Determination of TPH Concentrationalong the Depths
Abstract: In order to calculate the rate of TPH concentration along the depths, this research project applies theMonod Equation and First Order Rate Kinetics. TPH diffusion in the stagnant water medium wasexamined using the Developed Dispersion and Degradation Model integrated with the first orderdegradation rate and the Monod equation q2. TBC in both water media increased gradually over timeuntil the 56th day, and then rapidly between the 70th and 80th day. …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 · pp. 26–43 Read article
-
Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 Read article
-
Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
-
Unlocking Insights, Optimizing Processes: A Review Of Machine Learning In Action
Abstract: Machine learning (ML) has become a disruptive technology with applications in many different fields and sectors. Machine learning techniques are transforming the way data is examined, patterns are found, and decisions are made in a variety of industries, including healthcare, finance, manufacturing, and transportation. ML is improving drug discovery, treatment strategies, and diagnostics in the healthcare industry. In the financial sector, this means maximizing risk mitigation, credit scoring, and fraud …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 14–22 Read article
-
Assessment of Depth of Girder of Railway Bridge
Abstract: The depth of a railway bridge girder is primarily determined by the span of the girder. The load exertedon the girder by passing trains induces a bending tendency, which is counteracted by the girder'sthickness or depth. This structural depth is crucial in neutralizing the bending moments and ensuringthe stability and safety of the bridge. Furthermore, the calculated depth or thickness of the girder mustbe validated against permissible deflection limits to …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
-
Impact of Landslides on Water Resource Management: Challenges and Mitigation Strategies
Abstract: Heavy rainfall often causes water to accumulate at the base of mountains, leading to soil saturationand the formation of mud with significantly diminished shear strength. This weakened soil conditioncannot withstand the shear stress imposed by the weight of the mountain, resulting in slope instabilityand subsequent landslides. Such landslides not only pose risks to infrastructure and human safety butalso have substantial effects on water resource management. Landslides disrupt natural water flow,cause …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 21–28 Read article
-
Utilizing Remote Sensing and GIS for Water Quality Monitoring
Abstract: The integration of remote sensing and Geographic Information Systems (GIS) offers a sophisticated approach for monitoring and safeguarding water quality. This review examines how remote sensing technologies and GIS can be combined to observe key water quality indicators, such as turbidity, chlorophyll levels, and surface temperature. Remote sensing provides comprehensive, real-time data, which, when analyzed using GIS, enables detailed spatial examination and visualization of water quality patterns. This synergy enhances …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 45–51 Read article
-
Farm Management for Sustainable AI and IOT Based Agriculture
Abstract: The sector of agriculture has undergone a transformation thanks to the integration of synthetic Artificial intelligence (AI) and The Internet of Things. This has made it conceivable to move towards smart agriculture and promote the evolution of sustainable farming methods. In-depth study of the uses, approaches, difficulties, and potential applications IoT and AI in intelligent agriculture and sustainable farming is offered in this survey report. We examine the several AI …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
-
A Smart Recommendation System for Carrier Shipper Matching Using Multilabel Classification – A Survey
Abstract: Efficient matching between carriers and shippers is crucial in the logistics industry to optimize resource utilization and minimize costs. This paper puts forth a smart recommendation framework dependent on multilabel classification techniques to improve the carrier-shipper matching process. The method makes use of machine learning techniques to predict multiple relevant carrier options for a given shipment request. We present a comprehensive literature review on related works in carrier-shipper matching and …
Published in International Journal of Broadband Cellular Communication · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
-
Kinetic Modeling of Biomass Pyrolysis for Renewable Energy Production.
Abstract: Biomass pyrolysis is a promising technology for renewable energy production, offering a sustainable alternative to fossil fuels. This process involves the thermal decomposition of organic materials in the absence of oxygen, resulting in the generation of bio-oil, syngas, and biochar. Kinetic modeling of biomass pyrolysis is essential for optimizing the process and enhancing the yield and quality of the products. This abstract presents a comprehensive review of kinetic models used …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
-
A Review on Nanotechnology for Catalysis and Solar Energy Conversion
Abstract: Abstract This roadmap on Nanotechnology for Catalysis and Solar Energy Conversion focuses on the application of nanotechnology in addressing the current challenges of energy conversion: ‘high efficiency, stability, safety, and the potential for low-cost/scalable manufacturing. Solar-to-fuel conversion involves using nanotechnology to improve the efficiency and effectiveness of converting solar energy into chemical fuels. Solar Water Splitting Nanotechnology is applied to enhance the process of splitting water into hydrogen and oxygen …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
-
Wind Energy Conversion System: Theoretical Study and Concept
Abstract: For the past ten years, the manufacture of wind power has been the primary focus of power creation. A vast amount of research has been done on renewable energy, with a special emphasis on wind power extraction. When non-renewable fossil fuel supply is declining, wind power offers an environmentally conscious means of generating electricity and assists in meeting the country's requirement for energy. This chapter presents a brief review of …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 31–39 Read article
-
A Review on Nanotechnology for Catalysis and Solar Energy Conversion
Abstract: This roadmap on Nanotechnology for Catalysis and Solar Energy Conversion focuses on theapplication of nanotechnology in addressing the current challenges of energy conversion: ‘highefficiency, stability, safety, and the potential for low-cost/scalable manufacturing.Solar-to-fuel conversion involves using nanotechnology to improve the efficiency and effectivenessof converting solar energy into chemical fuels. Solar Water Splitting Nanotechnology is applied toenhance the process of splitting water into hydrogen and oxygen using solar energy. SolarPhotovoltaics The roadmap …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 Read article
-
Pregcare Record Analysis Based on BERT and Anticipatory Computing: A Review
Abstract: Development of a sophisticated Medical Pregnancy Care chatbot leveraging state- of-the-art Natural Language Processing (NLP) techniques, specifically the BERT framework. The chatbot offers a seamless user experience with two key functionalities: patient registration and comprehensive medical report generation. New users are prompted to register, providing essential personal details, and subsequently prompted to fill detailed medical reports, ranging from the 1st to the 9th month of pregnancy. The system employs anticipatory …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 1, 2024 · pp. 27–35 Read article