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44 articles for “optical”
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Multi-Sensor System for Underwater Pothole Detection to Enhance Road Safety During Monsoon Seasons
Abstract: Monsoon seasons across India and similar tropical regions severely compromise road safety by causing water accumulation that conceals dangerous potholes beneath stagnant pools, leading to frequent vehicle damage, tire punctures, and fatal accidents. Traditional detection methods relying on smartphone accelerometers, ultrasonic sensors, or machine vision fail under flooded conditions due to acoustic signal reflection at water surfaces and optical distortions from glare and turbidity. This research proposes an innovative multi-sensor …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 4, Issue 1, 2026 · pp. 25–32 Read article
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Comprehensive Review of the Fundamental and Functional Properties of Crystalline Materials
Abstract: Crystalline materials, characterized by their highly ordered atomic arrangements, serve as the backbone of modern engineering and technology. This review provides a detailed examination of their diverse properties, categorized into mechanical, thermal, electrical, and optical domains. We analyze fundamental mechanical parameters such as the elastic modulus, yield strength, and fracture toughness, alongside functional behaviors like fatigue and creep. The discussion extends to thermal transport and expansion, electrical conductivity and resistivity, …
Published in International Journal of Crystalline Materials · Vol. 3, Issue 1, 2026 · pp. 20–24 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Multifunctional and Photocatalytic Properties of DyFeO₃/Dy₃Fe₅O₁₂ Biphasic Nanoparticles
Abstract: Rare-earth orthoferrites constitute a class of compounds that exhibit remarkable magnetic, optical, and electronic properties across a wide temperature range. In the present study, a dysprosium-based orthoferrite containing dual phases of DyFeO₃ perovskite and Dy₃Fe₅O₁₂ garnet was successfully synthesized via the co-precipitation technique. X-ray diffraction (XRD) analysis was employed to investigate the structural configuration of the synthesized material. The diffraction pattern confirmed the formation of a biphasic composite comprising orthorhombic …
Published in International Journal of Crystalline Materials · Vol. 2, Issue 2, 2025 · pp. 41–54 Read article
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DFT/Data Guided Predictive Modelling of Absorption Maxima in the OLED Rubrene Derivatives
Abstract: This study investigates the optical properties of rubrene derivatives to develop an accurate predictive model for absorption maxima using computational chemistry and chemoinformatic techniques. We benchmarked various quantum chemical methods, identifying that the M06-2X/aug-cc-pVDZ method in dichloromethane (DCM) provided the strongest correlation with experimental data. Key molecular descriptors such as band gap, ionization potential, and electrophilicity index were calculated and analyzed using principal component analysis (PCA) to identify significant factors …
Published in International Journal of Cheminformatics · Vol. 4, Issue 1, 2026 · pp. 41–56 Read article
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Disaster Impact Assessment Using Multi-Sensor Satellite Data: An AI-Based Remote Sensing Approach
Abstract: Natural disasters such as floods, earthquakes, and wildfires cause significant damage to human life and infrastructure every year. Rapid and accurate assessment of the affected areas is essential for effective disaster response and recovery planning. Traditional image-based analysis using single-sensor data often fails under adverse conditions such as cloud cover, smoke, or poor lighting. To overcome these limitations, this study proposes a novel framework for disaster impact assessment using multi-sensor …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 10–22 Read article
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Lysogenic Phage Cocktails with Embedded Fluorophores for Field Wound Diagnostics.
Abstract: Rapid and accurate detection of wound infections in field settings remains a critical challenge in emergency and military medicine. Conventional microbiological diagnostics are time- consuming and laboratory-dependent. Bacteriophages, particularly lysogenic phages, offer high specificity toward bacterial hosts and can be engineered as diagnostic tools. A translational framework was developed for lysogenic bacteriophage cocktails embedded with fluorophore reporters for rapid, point-of-care wound diagnostics. Mechanisms of phage infection, lysogenic integration, and fluorophore …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 Read article
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Evaluation of Modified Nanoparticles' Effects on Polypropylene Composites
Abstract: Numerous sectors use nanoparticles and nanocomposites in a range of applications, including medicine, textiles, cosmetics, agriculture, optics, food packaging, optoelectronics, semiconductors, aerospace, building materials, and catalysis. Polymeric nanocomposites, which combine organic polymers with inorganic nanoparticles, are a novel family of materials that perform better than their microparticle counterparts. They should therefore enhance the field of engineering applications. A polymer matrix's characteristics can be drastically changed by the addition of inorganic …
Published in International Journal of Pollution: Prevention & Control · Vol. 1, Issue 2, 2023 · pp. 23–34 Read article
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Multiple Sclerosis: A Brief Overview of the Disease, Its Pharmacotherapy
Abstract: Multiple Sclerosis is an autoimmune disorder mostly affecting individuals aged between 20-40. In this disorder, the optic, vertebral, and central nervous system nerves are primarily impacted. It is a neurological condition that worsens over time and is characterized by inflammation and the breakdown of the sheath that surrounds and shields the nerve fiber. Common symptoms may include muscle weakness, numbness, tingling, fatigue, vertigo, tremor, vision complications, pain, Lhermitte sign, sexual …
Published in International Journal of Brain Sciences · Vol. 1, Issue 1, 2024 · pp. 13–18 Read article
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Violent Event Recognition and Monitoring Using Deep Learning for Surveillance Videos
Abstract: The significance of real-time capabilities in human detection and tracking is discussed in the abstract of the paper. We talk about tracking, eye detection, and face detection. A thorough motion detection program for use in video monitoring and other applications is suggested by the study. The goal of the study is to further human tracking technology. Optical flow features and appearance-invariant features from a Darknet CNN model are integrated. Acquiring …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 39–44 Read article
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Optimization of gas sensitivity of CuO/carbon composites with carbon particles synthesized from acacia auriculiformis branches
Abstract: Carbon particles fabricated from the core of acacia tree branches were utilized to synthesize CuO/carbon composite films. The gas sensing properties of these films grown on glass substrates using the doctor blade method were measured in 1000 ppm of methanol vapor at the room temperature. All the films were annealed at 75 0C for 1 hour in air. The structure, the optical band gap and the surface morphology of the …
Published in International Journal of Membranes · Vol. 1, Issue 1, 2024 · pp. 22–30 Read article
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Human Deep Skin Surface Vibration Frequency Detection from CT and DT Signals Using Genetic Algorithms
Abstract: To diagnose respiratory problems early on, a contactless, non-invasive, real-time assessment of human vibration is a crucial prerequisite. Optoelectronic plethysmography (OEP) and the forced oscillation technique (FOT), are two widely utilized methodologies, depending on variations in each patient’s local chest impedance. Calibration of the devices before each measurement is hence the primary problem of these approaches. This report presents a simulation-based analysis to assess the effectiveness of the CT and …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 2, Issue 1, 2024 · pp. 9–16 Read article
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Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Exploring the Potential of Laser Ablation for Multi-functional Nanoparticle Production
Abstract: The extraordinary class of materials known as nanomaterials has come into being. A large variety of elements with minimum one dimension between 1 and 100 nm are included. Reasonably designed nanomaterials can have exceptionally large surface areas. Nanomaterials can be made to have exceptional mechanical, optical, electrical, magnetic, and catalytic properties that are very different from those of their bulk counterparts. To achieve the necessary features tuning, nanomaterials' size, shape, …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 2, 2024 · pp. 36–41 Read article
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Innovative Approaches to Reducing Data Traffic in IoT Networks Using Deep Learning and Compressive Sensing
Abstract: The exponential growth of internet of things (IoT) devices has posed unprecedented challenges in managing the massive data generated by real-time monitoring, automation, and analytics. Existing network infrastructures lack scalability, bandwidth, and suffer from latency problems, further making data transmission less efficient. This study surveys innovative approaches using deep learning and compressive sensing to reduce IoT data traffic. Deep learning is able to upgrade data processing by means of very …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 46–62 Read article
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A Brief Review on Perovskite Materials: Synthesis, Properties, and Applications
Abstract: Perovskite materials have emerged as a transformative class of compounds, capturing widespread interest due to their remarkable properties and diverse applications across various fields, including optoelectronics, catalysis, energy storage, and environmental technologies. The synthesis techniques, classification, and unique properties of perovskite materials are thoroughly examined in this paper, which highlights the materials' potential to completely transform a number of sectors. One of the standout features of perovskites is their highly …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 1, 2025 · pp. 42–49 Read article
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Exploring Carbon Nanotubes in Nanotechnology: Functional Properties, Surface Modifications, and Biomedical Innovations
Abstract: Significant progress has been made in nanotechnology in recent years, especially in the creation of sensors with a broad range of uses. Among these, carbon nanotubes (CNTs) are cylindrical structures composed of carbon, with diameters in the nanometer range. CNTs originate from graphite sheets, where the graphite layers resemble a rolled-up, continuous, and robust hexagonal mesh. These hexagons have carbon atoms at their vertices. The fabrication of CNTs typically involves …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 24–31 Read article
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Enhancing Glaucoma Diagnosis with Deep Learning: A Study Using ResNet-50 and DenseNet-121
Abstract: Glaucoma is a leading cause of irreversible blindness worldwide, mainly resulting from progressive optic nerve damage, often related to elevated intraocular pressure. Early detection is essential to prevent vision loss, but traditional diagnostic methods rely on specialized equipment and trained professionals, making large-scale screening difficult. This study uses a publicly available fundus imaging dataset to explore the effectiveness of deep learning models for glaucoma detection. These datasets provide medical images, …
Published in International Journal of Brain Sciences · Vol. 2, Issue 2, 2025 · pp. 9–18 Read article
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Tactile Sensing Technologies in Robotics: A Review of Sensors, Materials, and Applications
Abstract: Tactile sensing, which closely resembles the human sense of touch, is an essential capability in modern robotics. It enables robots to detect and interpret physical interactions with objects, surfaces, and living beings, thereby allowing them to operate more intelligently and adaptively in complex environments. Unlike visual or auditory sensors, tactile sensors provide direct feedback about contact, pressure, texture, force, temperature, and even vibration. These sensory cues are vital for improving …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 17–23 Read article
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Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article