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1985 articles for “Mizaj Mo’tadil Tibbi” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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CNN-Based Wound Segmentation: A Review of Models and Performance Evaluation
Abstract: Deep learning, particularly convolutional neural networks (CNNs), has altered medical image processing by automating and precisely segmenting complex medical pictures. Wound segmentation, a critical application in automated wound assessment, is essential for wound size estimation, classification, and healing progress monitoring. This study presents a comprehensive review of CNN-based wound segmentation models, focusing on their architectures, methodologies, and performance on diverse datasets. Four deep learning models, including two U-Net variants (5-layer …
Published in Current Trends in Signal Processing · Vol. 15, Issue 1, 2025 · pp. 33–46 Read article
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India’s Position in Mobile Computing Technology
Abstract: India has emerged as a significant player in the global mobile computing technology landscape, driven by its large, tech-savvy population, rapidly growing digital economy, and government initiatives promoting digital transformation. The country has become one of the world's largest smartphone markets, fostering innovation and adoption of advanced mobile technologies such as 5G, AI, and IoT. Indian startups, alongside global technology giants, are contributing to advancements in mobile applications, cloud computing, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 28–32 Read article
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Hybridization Method for Injection Moulding Process, Optimization with Melting Temperature Parameters
Abstract: Due to the production of plastic products with complex shapes, the plastic injection moulding manufacturing method has recently received a lot of attention. In order to improve manufacturing performance, the cycle time for the injection moulding process has been reduced, the defect known as dimensional warpage that results from temperature differences inside the mould has been reduced, and the mechanical tensile strength of the material has been increased so that …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 337–345 Read article
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Influence of the Modification of Resol Phenolics on the Properties of Glass and Cotton Fiber Laminates
Abstract: Fiber reinforced polymer (FRP) composite based on resol phenolics awaits special attention due to excellent inherent properties of the resol phenolics. In this study, modified resol phenolics by unsaturated polyester (UP) and epoxidised novolacs of simple phenol, o-cresol and p-cresol were used to fabricate glass and cotton FRPs. An overall enhancement of 25% in tensile strength and 40% in impact strength is achieved upon modification for both the modified laminates. …
Published in Journal of Polymer & Composites · Vol. 13, Issue 4, 2025 · pp. 239–255 Read article
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Influence of Carbonyl Iron Particle Loading on the Dimensional and Rheological Properties of 4D-Printed TPU-Based Magnetorheological Elastomers
Abstract: The advancement of 4D printing technologies has created new opportunities for fabricating smart materials with tunable properties, including magnetorheological elastomers (MREs). This study investigates the fabrication and characterization of thermoplastic polyurethane (TPU)-based MREs with varying carbonyl iron particle (CIP) loadings (10–50 wt.%) using the fused filament fabrication (FFF) method. MRE filaments were produced through a solvent-assisted mixing and extrusion process, ensuring consistent diameters within 1.75 ± 0.10 mm. Test specimens …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 127–138 Read article
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Encoder-Decoder Based Fine-Tuned Model for Code Doubt Solver
Abstract: As we are growing in technology, more technologically skilled persons are needed in industry. They all often rely on programming in their daily work, and when some doubts arise, they seek help from teachers to LLMs like GPT to Deepseek. However, when errors arise, then comes hectic part to troubleshoot and resolve the error. Usually, people seek help from some LLMs like GPT, or Deepseek for the solution; they give …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 35–42 Read article
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High Efficiency Linear Motion Using Sequential Coil Electromagnetic Propulsion Train
Abstract: The Electromagnetic Propulsion Train project efforts on developing a model that proves linear motion using exactly controlled electromagnetic forces. Dissimilar conventional railway systems that depend on mechanical drives, traction motors, and wheel–rail friction, this model uses a coordinated arrangement of electromagnets positioned along the track to generate attractive and repulsive forces, which together produce the essential propulsion. This method reduces dependence on mechanical movement and highlights the possible of magnetic …
Published in Trends in Mechanical Engineering & Technology · Vol. 15, Issue 3, 2025 · pp. 32–39 Read article
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A Comparative Study of Transfer Learning-Based Deep Learning Models for Breast Cancer Detection
Abstract: Breast cancer is a major concern in the world today, and early and accurate diagnosis is most crucial in the case of breast cancer, as it is among the disorders where the total cost of loss of life is high. Traditional screening processes are subjective and vulnerable to inter-observer reliability issues and diagnostic errors, being primarily based on manual interpretation of medical images. To address these limitations, Deep Learning (DL) …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 1, 2026 · pp. 24–34 Read article
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Swarm-Enabled AI for Smart Mobility and Sustainable Transport
Abstract: The significant issues facing the modern urban infrastructure are the management of road traffic problems, such as severe traffic congestion, the detection of unsafe driving behavior, and road safety. The traditional ground-based surveillance systems will be helpful, but they will reach their limits in large and dynamic environments. It is because of predetermined perspectives, blindness, and the inability to scale. To designate these problems, the present study proposes a traffic …
Published in Journal of Advancements in Robotics · Vol. 13, Issue 1, 2026 · pp. 33–38 Read article
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Remote Sensing and Atmospheric Modelling: Data, Processes, Integration and Future Directions
Abstract: Atmospheric modelling plays a central role in weather forecasting, climate projection, and air quality assessment; however, the availability, accuracy, and representativeness of atmospheric observations fundamentally constrain its reliability. Over the past two decades, rapid advances in remote sensing (RS) have transformed atmospheric observation by providing spatially continuous, multiscale measurements of key atmospheric variables, including aerosols, trace gases, clouds, precipitation, and atmospheric thermodynamic profiles. This review synthesises recent progress in integrating …
Published in International Journal of Atmosphere · Vol. 3, Issue 1, 2026 · pp. 54–67 Read article
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Comparison of Models of Machine Learning and Hyperparameter Optimization Methods on Various Datasets
Abstract: The most likely phase in achieving powerful and robust machine learning models is probably the hyperparameter tuning step. The traditional exhaustive methods of search (grid search and others) ensure that the search space is covered, but are computationally inexpensive; random search is less expensive and can still miss good regions; and lastly, the modern model-based and population-based methods (Bayesian optimization, tree-structured Parzen estimator (TPE), genetic algorithms) are thought to provide …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 35–42 Read article
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A Comprehensive Study of Natural Language Processing Systems Using Modern Programming Languages: Techniques, Architectures, Experimental Evaluation and Applications
Abstract: Natural language processing is a key field of study within artificial intelligence that focuses on enabling machines to understand and work with human language. This is because there is much digital text data everywhere. Natural Language Processing is what this study is about. It looks at new ways of doing Natural Language Processing. The old ways are like machine learning, and the new ways are like learning. This study compares …
Published in Recent Trends in Programming languages · Vol. 13, Issue 1, 2026 · pp. 12–23 Read article
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Study of an Improved Quantum Particle Swarm Optimization-Based Framework for Neural Network Optimization in Modelling of Polymer Data
Abstract: The accurate forecasting of polymer viscosity at various physicochemical conditions has been quite critical due to the nonlinear interactions and interrelations between the variables. This paper suggests a better hybrid modelling framework, which involves the use of Artificial Neural Networks (ANN) and more advanced versions of Quantum Particle Swarm Optimization (QPSO) to better predict polymer viscosity. The input parameters taken are, namely, log (shear rate), polymer concentration, NaCl concentration, Ca …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 282–297 Read article
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Hybrid Quantum–Machine Learning Framework for Nonlinear Rheological Modeling of Polymer and Composite Materials
Abstract: In polymer and composite materials, a major challenge lies in predicting their nonlinear rheological response, owing to complex multiscale interactions that are not captured by traditional constitutive laws or conventional machine learning approaches. In this study, a hybrid Quantum–Machine Learning (QML) model comprising Quantum Support Vector Machine (QSVM) and Quantum Neural Network (QNN) architectures is proposed for viscosity prediction without requiring any specific rheological equation. To train and test the …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 · pp. 19–35 Read article
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Gob to pursue heat to mould – a study
Abstract: This article is the study of gob at hot state between molten glass pool and mould machine. The empirical description has modification from trial and error prosecution to suggest automated produce equipment. Feedback sensing loop from plunger feed at mould has data conversion ethic to shaped mass regulator equipment. Modification in the trajectory of flow line production has improved quality produce at minimized wear. Difference in composition-wise viscosity and heat …
Published in Journal of Thermal Engineering and Applications · Vol. 8, Issue 1, 2021 · pp. 47–53 Read article
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Twisting, Super Twisting and Adaptive Algorithm Sliding Mode Controller for Second Order Time Delay Systems
Abstract: The sliding mode control approach is widely considered as one of the most effective methods for designing a reliable controller for a complicated higher-order dynamic plant operating under uncertainty. The primary advantages of sliding mode is its low sensitivity to changes in plant parameters and the ability to entirely eliminate disruptions. Sliding mode control has been widely applied as a robust control design methodology that is completely insensitive to uncertainties, …
Published in Current Trends in Signal Processing · Vol. 11, Issue 2, 2021 · pp. 10–27 Read article
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Lambda Doubling Calculation of Carbon Monoxide C12O16 Molecule
Abstract: The theoretical emission spectrum of C12O16 molecule, calculation of lambda doubling, the relation between wavenumbers R(J), Q(J), P(J) and rotational state energies F(J), F(J + 1) with rotational quantum number J respectively have been investigated for A1
Published in Emerging Trends in Chemical Engineering · Vol. 2, Issue 2, 2015 · pp. 25–31 Read article
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Vertical Axis Wind Turbine Modeling and its Analysis Using ANSYS
Abstract: Research on small wind turbine (SWT) is on the upswing in the last five years, as there is a need of energy producing machines to compensate with the fossil fuel based energy. The green technology wishes to create environment friendly energy producing devices based on wind or solar technology. In this paper, an attempt is made to make use of already existing waste wind energy produced by high speed moving …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 8, Issue 1, 2017 · pp. 26–32 Read article
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Fault Detection and Online Monitoring of Three Phase Induction Machine using Embedded Platform
Abstract: Protection of three phase induction machine is very important in industrial applications and it plays a vital role in our everyday life. This protection system protects the three phase induction motor from single phasing, under voltage, over voltage over current, and over temperature. Induction motors are kept in operation through tracking its condition in a continuous manner to minimize their unplanned down times. To avoid the consequence of unexpected failure …
Published in Journal of Control & Instrumentation · Vol. 9, Issue 2, 2018 · pp. 17–24 Read article
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Design and Development of a Multifunction FPGA-based Data Acquisition System using Nonlinear Duty-cycle Modulation Technique
Abstract: AbstractA new generation of DAQ based on duty-cycle modulation technique is presented. It describes the design and prototyping of a FPGA-based data acquisition and signal generation board using the duty-cycle modulation technique and with computer-based software interface. The system is built around the DE0-Nano development board that embeds an Altera cyclone IV FPGA in which a NIOS II processor running at 100 MHz has been instantiated. The conversion technique from …
Published in Journal of Electronic Design Technology · Vol. 10, Issue 3, 2019 · pp. 8–26 Read article