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784 articles for “system functionality”
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Robotic Assistance Using ESP32 Microcontroller
Abstract: The Robotic Assistance System using ESP32 Microcontroller is a voice-interactive and manually operable robotic model designed to improve human convenience and engagement in daily life. This project integrates modern technologies such as Alexa-based voice commands for intelligent interaction and Bluetooth-based manual control for user flexibility. By combining artificial intelligence with embedded systems, the robotic assistant is capable of performing a wide range of activities. These include entertainment-related functions like playing …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Solar Spin: BLDC Motor Integration for Sun powered Cycling
Abstract: This project focuses on the integration of a Brushless DC (BLDC) motor into an E-Solar Cycle to enhance its power generation efficiency. The aim is to design and implement a sustainable transportation solution that harnesses solar energy to supplement the electric power generated by the BLDC motor, thereby extending the cycle's range and reducing its dependence on external charging sources. A BLDC motor is used as the propulsion in the …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 15, Issue 2, 2024 · pp. 30–36 Read article
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Nutrient–Xenobiotic Crosstalk in Dairy Cattle: Implications for Metabolism, Immunity, Health, and Productivity in Resilient Dairy Development
Abstract: Dairy cattle are routinely exposed to a wide range of xenobiotics, including mycotoxins, heavy metals, pesticides, residues from veterinary drugs, and plant secondary metabolites, through feed, water, and environmental sources. These xenobiotics, being foreign to biological systems, can interfere with the absorption, metabolism, and utilization of essential nutrients, while also compromising immune function, organ health, and overall physiological performance. Chronic or subclinical exposure can reduce feed efficiency, disrupt energy and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 16, Issue 1, 2026 · pp. 37–46 Read article
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Explainable Machine Learning for Process Parameter Optimization in Gradient 3D-Printed Polymer Composites
Abstract: The explainable machine learning-based structure may be employed to achieve a favorable process parameter of the graduate 3D-printed polymer composite structures to improve the mechanical and thermal properties without compromising the transparency of the decisions made during the fabrication process. Gradient composite specimens were made by systematically varied process parameters like nozzle temperature, raster orientation, deposition speed, gradient transition rate and fused filament fabrication. A predictive model of tensile strength …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 847–866 Read article
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Using Fuzzy Control System Develop Boost DC-to-DC Converter
Abstract: The main motive of this study is to use MATLAB Simulation to design a FLC (fuzzy logical controller) for a boost DC-DC converter. By creating an FLC algorithm, the FLC was integrated into the system. This implies that the controller bases its control decisions on the concepts of fuzzy logic. The inductor has undergone extensive design and calculation work to guarantee that the transformer runs in mode of continuous conduction. …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 22–28 Read article
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AI-Based Discovery of High-Performance Energy Storage Polymer Composites: A Comprehensive Review
Abstract: The accelerating global demand for high-performance energy storage systems has stimulated significant research into advanced polymer composites as next-generation electrolytes, electrode binders, and functional membranes for batteries, supercapacitors, and photovoltaic devices. However, the vast compositional and structural design space of polymer materials presents formidable challenges for conventional trial-and-error discovery strategies, which remain slow, costly, and biased by prior expert knowledge. Machine learning (ML) and artificial intelligence (AI) have emerged as …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 1083–1097 Read article
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Biodegradable and Natural Fiber-Reinforced Polymer Composites for Sustainable Biomedical Applications
Abstract: Liposomal drug delivery has evolved into a viable approach in modern pharmacology thanks to its enhanced bioavailability, reduced systemic toxicity, and targeted drug release. Conventional liposomes have limited stability, medicine leakage, and short circulation times among other problems. Overcoming these limits, the inclusion of nano-polymers into liposomal formulations has transformed medication delivery. Thorough research has been done on the potential of nano-polymers including chitosan, hyaluronic acid, polyethylene glycol (PEG), and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 420–432 Read article
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Harnessing Polymer Chemistry for Pharmaceutical Technology
Abstract: Polymer chemistry has emerged as a cornerstone of modern pharmaceutical technology, offering unprecedented control over drug formulation, delivery, and therapeutic performance. This review highlights the pivotal role of polymers—both synthetic and natural—in revolutionizing drug delivery systems across various routes, including oral, parenteral, transdermal, ocular, nasal, and pulmonary administration. Special emphasis is placed on the structural and functional versatility of polymers, which allows for tailored drug release profiles, enhanced bioavailability, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1–6 Read article
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Recent Update on Advanced Drug Delivery System
Abstract: Over the past decade, there has been a growing interest in the use of artificial intelligence (AI) technology for analysing and interpreting biological or genetic data, accelerating drug discovery, and identifying selective small-molecule modulators or rare molecules in addition to predicting their behaviour. The use of artificial neural networks (ANNs) for the rapid analysis of massive amounts of data, the development of novel hypotheses and treatment plans, the prediction of …
Published in International Journal of Advance in Molecular Engineering · Vol. 1, Issue 1, 2023 · pp. 22–30 Read article
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Exploring the Therapeutic Potential of Ilāj-Bil-Ghizā (Dietotherapy) in Depression: A Systematic Review
Abstract: Background: Depression is a common mental health condition characterized by feelings of sadness, diminished interest in activities, and physical symptoms that disrupt daily activities functioning. Emerging research indicates that nutrition and dietary habits can significantly influence the management of depression. This review aims to explore the connection between diet and mental health, highlighting how nutritional approaches may complement traditional treatments for depression. Objective: This review aims to evaluate the relationship …
Published in Journal of AYUSH: Ayurveda, Yoga, Unani, Siddha and Homeopathy · Vol. 14, Issue 3, 2025 · pp. 10–18 Read article
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High Performance Multi-Valued Logic (MVL)Gate Design Using FinFET
Abstract: CMOS scaling faces challenges such as leakage, power dissipation, and short channel effects. Multi-Valued Logic (MVL) offers higher information density and reduced interconnections. This work presents a FinFET-based MVL gate design that improves electrostatic control, switching speed, and reliability. Simulation results confirm reduced leakage power and enhanced performance compared to conventional logic. The proposed architecture demonstrates scalability for advanced technology nodes. It also shows potential for low-power applications in portable …
Published in Journal of Microelectronics and Solid State Devices · Vol. 13, Issue 1, 2026 · pp. 34–45 Read article
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Self-Healing Structural Polymer Composites Incorporating Bio-Inspired Nanofillers
Abstract: Self-healing polymer composites become an attractive family of intelligent materials that are capable of autonomously repairing damage, which will enhance their durability, reliability and service life in extreme engineering applications. The materials are based on the principles of nature, using the nanofillers that are derived from biological systems to improve mechanical properties and self-healing capabilities by utilizing hierarchical structures and multifunctional interface interactions. The recent developments on the formulation of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Neural Network Based Fractional Order PID Controller for Harmonic Mitigation of Induction Motor Drive System
Abstract: Torque produced in IM (induction Motor) is collected fundamental torque, however, due to core saturation, air gap irregularity, and winding distribution; stator and rotor slotting harmonics torque are produced. This reduces the quality of the power system, life span, and performance of the motor and the controller device. In this paper, a neural network, based fractional order proportional integral derivative (NNFOPID) controller is designed to compensate the harmonics of the …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 1, 2023 · pp. 23–41 Read article
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Driver Drowsiness Detection System
Abstract: One of the main causes of road accidents worldwide in recent years is driver fatigue. Assessing a driver's mood, or how sleepy they are, is a clear approach to gauge their level of exhaustion. Therefore, detecting driver fatigue is very important to save lives and property. The creation of a prototype drowsiness detection system is the aim of this research. The system operates in real time, continuously capturing images and …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 16–21 Read article
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Predictive Maintenance in Semiconductor Systems: Insights from Machine Intelligence and Data-Driven Methods
Abstract: With the fast-paced development of semiconductor technology comes the need to focus on device reliability, or how long devices will function and the likelihood of devices having operational issues. Predicting failures and avoiding downtime with the implementation of timely, actionable, and data-driven maintenance strategies are essential to insure devices function sustainably within predetermined performance levels. The implementation of predictive maintenance within artificial intelligence and machine learning technologies will provide the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 1, 2026 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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Design and Development of Pipe Bending Machine
Abstract: The design and development of a pipe bending machine are crucial for various industrial applications, including the construction, automotive, and manufacturing sectors. Bending is a fundamental metalworking process that involves deforming pipes, tubes, square hollows, and rods without compromising their structural integrity. This study focuses on designing a cost-effective and efficient pipe bending machine that can accommodate different pipe sizes and materials. The key design considerations include selecting an appropriate …
Published in International Journal of Manufacturing and Production Engineering · Vol. 3, Issue 1, 2025 · pp. 22–30 Read article
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Al-Razi’s Anatomical Insights: A Detailed Review of Kitab Al-Mansuri
Abstract: Al-Razi (865–925 CE), a leading physician of the Greco-Arab Golden Age, made foundational contributions to human anatomy through clinical observation and empirical analysis. This review explores Al-Razi's anatomical insights, particularly as recorded in his influential medical compendium Kitab al-Mansuri (The Book of Medicine Dedicated to al-Mansur). In this work, Al-Razi challenges the prevailing Galenic doctrines by prioritizing evidence-based understanding over uncritical acceptance of ancient texts. His method reflects a scientific …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 12, Issue 3, 2025 · pp. 1–7 Read article
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Diabetes Risk Prediction from Survey Data Using Machine Learning Algorithms
Abstract: Diabetes mellitus represents one of the most significant global health challenges, affecting millions worldwide and leading to severe complications if left undiagnosed or poorly managed. Early detection and risk assessment are crucial for preventing the progression of this chronic condition. This research presents a comprehensive machine learning approach for predicting diabetes risk using survey-based health parameters. The study implements and compares four prominent classification algorithms: Logistic Regression, K-Nearest Neighbors (KNN), …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 4, Issue 2, 2026 Read article
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Ayurvedic Management of Vatika Pakshavadha (Hemiplegia): A Case Study
Abstract: Background: Pakshavadha, described in Ayurveda under the category of Vāta Vyādhi, is a neurological disorder caused by aggravated Vāta doṣa affecting one half of the body. Clinically, it is correlated with hemiplegia or post-stroke neurological deficits, particularly following ischemic cerebrovascular accidents. Stroke remains a leading cause of mortality and disability worldwide, often leaving patients with residual weakness, gait disturbances, and impaired speech despite modern rehabilitation. Ayurveda offers a holistic approach …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 13, Issue 2, 2026 Read article