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163 articles for “experimental and computational methods”
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Development and Performance Evaluation of Hybrid Solar Water Heating and Distillation Systems for Sustainable Water Supply: A Comprehensive Review
Abstract: This review article delves into the comprehensive examination of hybrid solar water heating and distillation systems, underscoring their pivotal role in addressing global water and energy challenges. With the increasing scarcity of clean water and the growing demand for sustainable energy solutions, these hybrid systems offer a promising dual-purpose approach. The article synthesizes the latest advancements in technology, design methodologies, and performance evaluation metrics, providing a holistic view of the …
Published in Recent Trends in Fluid Mechanics · Vol. 11, Issue 1, 2024 · pp. 8–19 Read article
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Performance Evaluation of Kevlar-Sisal-S-Glass Hybrid Composites with Ceramic Fillers for Structural Applications
Abstract: This study examines the mechanical properties of hybrid composite laminates reinforced with Kevlar, sisal, and S-glass fibers, and incorporating ceramic fillers—silicon carbide (SiC) and aluminum oxide (Al2O3)—within an epoxy matrix. The hand lay-up method was utilized to produce the laminates, ensuring a uniform fiber stacking sequence and including 10% filler material. Two composite variations were synthesized: one incorporating SiC and the other Al₂O₃, and both underwent tensile, flexural, hardness, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1308–1322 Read article
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EMOTION RECOGNITION FROM ELECTROENCEPHALOGRAM SIGNAL AND EYE MOVEMENT BASED ON DEEP LEARNING
Abstract: Emotion recognition from electroencephalogram (EEG) signals has gained significant attention due to its potential in human- computer interaction (HCI), mental health monitoring, and personalized content delivery. This paper presents the use of Convolutional neural networks (CNNs) to classify emotions such as happiness, sadness, fear, neutral, and disgust by leveraging a fusion of EEG signals and eye movements data. Compared to conventional methods of emotion detection, such as those that rely …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 8–15 Read article
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Efficient Design and Optimization of Cloud-Native Backend Services for Full-Stack Web Applications
Abstract: The fast development of cloud computing has immensely altered architectural outlays of the current full stack web applications. Conventional monolithic back-end systems tend to have a lack of scalability, complex deployment, and wasted resources. To overcome these issues, this paper will design and optimize cloud-native Java based back-end microservices based on Spring Boot, Docker, Kubernetes and REST based models of communication. This architecture proposal has containerized microservice implementation with an …
Published in Journal of Web Engineering & Technology · Vol. 13, Issue 2, 2026 · pp. 24–32 Read article
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Face and Iris based Multimodal Person Identification using Likelihood Ratio Score Fusion Approach.
Abstract: AbstractThe aim of this paper is to propose a multimodal biometric system where likelihood ratio score fusion technique has been used to combine face and iris uni-modal biometric system outputs. Active Shape Model (ASM) has been used to extract the facial features and standard methods have been applied to effectively extract the human iris features. To evaluate the output of each individual modality of face and iris, Discrete Hidden Markov …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 3, 2015 · pp. 60–67 Read article
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CTCHFA: Discovery of Circulating Tumor Cells in Metastatic Breast Cancer and Nonmetastatic Cancer by using Novel Hybrid Hierarchical Clustering Algorithm in Firefly Distance
Abstract: AbstractBlood testing for circulating tumor cells (CTCs) has emerged as one of the highest fields in cancer research. CTC detection are an early gene marker of reaction to systemic therapy, whereas their molecular characterization has a strong field that can be translated to individualized targeted treatments and spare breast cancer (BC) patients from unnecessary and ineffective therapies. Genomic research regarding CTCs monitoring for BC is limited due to the lack …
Published in Journal of Computer Technology & Applications · Vol. 6, Issue 1, 2015 · pp. 9–18 Read article
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Artificial Intelligence for Polymer and Nanocomposite Materials: Performance Prediction, Manufacturing Optimization, and Future Perspectives
Abstract: The exceptional mechanical properties, design flexibility, and lightweight nature of polymer composite and nanocomposite materials make them indispensable in a wide range of applications, including aerospace, automotive, construction, biomedical, and energy sectors. The optimization of the strength, durability, and manufacturing efficiency of polymer composite and nanocomposite materials is highly challenging because their performance depends on matrix composition, reinforcement type, fiber or nanoparticle distribution, interfacial interactions, processing conditions, and environmental factors. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Stable control of the motion of gas bubbles dissolved in a vibrating fluid in microgravity conditions
Abstract: Previous theoretical and experimental studies of the effect of vibration on gas bubbles, dissolved in a fluid, permitted to establish the localization and stable position of a “swarm” of gas bubbles at a certain level of fluid in the vessel corresponding to a certain frequency and vibration acceleration, aswell as to the volume of a swarm of gas bubbles. The control of a “swarm“ of gas bubbles in a fluid …
Published in Recent Trends in Fluid Mechanics · Vol. 8, Issue 1, 2021 · pp. 34–44 Read article
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Predictive Modeling and Optimization of Citric Acid Bioproduction Using Ipomoea batatas Peel (Sweet Potato)
Abstract: In this research, the Box–Behnken design was adopted and applied to the process and the total of 30 experimental runs were generated for the liquefaction steps considered for the purpose of citric acid bioproduction using Ipomoea batatas peel (sweet potato) which was very helpful during the investigatory process of this research. The liquefaction step adopted were very sensitive as gross investigations to ascertain their usability was made and proven worthy …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 13, Issue 1, 2022 · pp. 32–43 Read article
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Numerical Simulation of Crack Growth in Dynamic Loading Conditions
Abstract: Because it is crucial for forecasting structural failures in engineering applications, crack formation in materials under dynamic loading circumstances has become a crucial study topic. In this work, finite element methods (FEM) are used to numerically simulate fracture propagation in dynamic stress situations. The impact of loading rates, material characteristics, and crack geometries on crack growth patterns are assessed in a thorough parametric research. The work uses sophisticated computational methods …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 2, 2024 · pp. 30–34 Read article
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A Novel Secure Cloud Storage Solution: Combining AES-OTP, RSA, and Time-Limited Access Control with Adaptive Key Management
Abstract: The reliance of cloud computing on the data processing and storage structure creates serious security risks. Ensuring availability, security, and integrity of data in cloud settings becomes a challenge for both the individual and the enterprise. This paper will, therefore, introduce a novel Hybrid Cryptographic Framework that combines RSA, One-Time Pad (OTP), and AES as a means of enhancing data security in cloud storage. It employs RSA for secure key …
Published in Current Trends in Signal Processing · Vol. 14, Issue 3, 2024 · pp. 11–20 Read article
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Triple-Threat Analysis: Measuring Mythril, Slither and Oyente Against Real-World Smart Contract Vulnerabilities
Abstract: Smart contracts have become fundamental building blocks of blockchain ecosystems, yet their immutable nature makes security vulnerabilities particularly devastating. This pa- per presents a comprehensive evaluation of three prominent static analysis tools—Mythril, Slither, and Oyente—for detecting vulnerabilities in Ethereum smart contracts. Through systematic experimentation with real-world contract categories (voting sys- tems, land registries, and crowdfunding platforms), we quantify the effectiveness of each tool across eight critical vulnerability types, including reentrancy, …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 1, 2025 Read article
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Car License Plate Detection and Recognition using Morphological Image Processing and Template Matching
Abstract: This study presents a robust method for vehicle number plate detection and identification. It mostly consists of three stages: plate extraction, plate number separation, and number recognition. Morphological operation is used to extract plate and numbers, whereas template matching is used to recognize the extracted number images. After that, it looks into a predefined dataset to decide if the number is licensed. Being independent of plate size, color and illumination …
Published in Journal of Computer Technology & Applications · Vol. 11, Issue 1, 2020 · pp. 21–27 Read article
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Machine Learning-Based Structure–Property Quantification of Advanced Polymer Composites
Abstract: Advanced polymer composites are widely used in high-performance engineering due to their superior mechanical and multifunctional properties. Accurate structure–property quantification is essential for efficient material design and reducing experimental costs. Existing Machine Learning (ML) approaches often exhibit limited predictive generalization due to inadequate feature discrimination and suboptimal hyperparameter tuning. To address these limitations, the proposed method enhances the ability to capture the complex nonlinear interactions among composite structural descriptors. The …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Design and Vibrational Analysis of Power Transmission by Stepless Friction Drive
Abstract: The design detailed analysis of vibration of a stepless friction drive-based power transfer mechanism are presented in this work. A load, a stepless friction drive, and a motor make up the system. To assure the system's effectiveness and dependability, the stepless frictionless drive is constructed using a mix of theoretical computations and is examined using an FFT analyzer. The vibrational assessment is carried out to assess how the system reacts …
Published in Journal of Experimental & Applied Mechanics · Vol. 14, Issue 1, 2023 · pp. 41–56 Read article
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Hybrid Additive-Subtractive Manufacturing of Multi-Material Functionally Graded Components: Integration of Laser Powder Bed Fusion with High-Speed CNC Finishing for Aerospace Applications
Abstract: The synergy involved in the merging of additive and subtractive manufacturing technologies is the game changer to generate multi-material functionally graded components to be used in the aerospace industries. The paper is an in-depth review of a proposed hybrid additive-subtractive manufacturing, which synergistically merges laser powder bed fusion (LPBF) fashioning with rapid computer numerical control finishing production processes. The multi-material deposition, thermal issues, and optimization of post-processing are the challenges …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 398–418 Read article
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Generative AI-Based Inverse Design of Sustainable Biodegradable Polymers with Target Mechanical and Thermal Properties
Abstract: The escalating global plastic pollution crisis has intensified the urgent need for sustainable biodegradable polymer alternatives that can match or exceed the performance of conventional petroleum-based plastics while minimizing environmental impact. However, traditional polymer discovery approaches are severely constrained by high experimental costs, protracted development cycles spanning years, and fundamental inability to simultaneously optimize multiple conflicting material properties such as mechanical strength, thermal stability, and degradation kinetics. This study presents …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1285–1295 Read article
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Determination of Object Position and Orientation Using Image Processing Technique
Abstract: A method for measuring position and orientation of an object was determined by making use of image processing technique. The position of light sources gives a geometrical constraint between them. Three light sources was designed and constructed at appropriate positions with respect to camera (webcam), the processed/programmed images directly give the coordinate values (x and y) of each of the light spot which were used in calculating their distances apart …
Published in Research & Reviews : Journal of Physics · Vol. 7, Issue 2, 2018 · pp. 18–24 Read article
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T-π Network Simulation and Thevenin- Norton Equivalent Circuit Values From Laplace Description Using Pspice Software
Abstract: From the conversion methods of T-π (star-delta) for impedances circuits, the behavioral modeling of Pspice simulation program is used to obtain equivalent circuits using LAPLACE option. The conversions are verified for two types of circuits by obtaining AC values of voltages and currents at various nodes and branches using Pspice computer simulations. There are many ways of expressing Thevenin/Norton equivalent circuit parameters such as (a) as real numbers for pure …
Published in Journal of Semiconductor Devices and Circuits · Vol. 9, Issue 2, 2022 · pp. 43–58 Read article