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118 articles for “Bio imaging”
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Freshwater Resources in Delhi: A Decadal Analysis of Land Use Changes
Abstract: The escalating global concern over the pollution of freshwater resources, driven by the amplifying stress and scarcity of freshwater, underscores the significance of this study. The investigation examined the alterations in land use and land cover (LULC) in Delhi, concurrently assessing the coliform count in water sources designated for drinking and other purposes. LANDSAT 7 satellite imagery scrutinized the LULC changes in Delhi over a decade (2011 to 2021) to …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 14, Issue 1, 2024 · pp. 13–22 Read article
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How do Polymer-derived Implants Influence Patient-Reported Outcomes (PRO) in Cardiovascular and Orthopaedic Procedures
Abstract: Implants derived from polymers have surfaced as adaptable substitutes for conventional metallic devices in cardiovascular and orthopedic treatments because of their adjustable mechanical characteristics, biocompatibility, radiolucency, and ability for surface alteration. This systematic review assesses the impact of polymer-based implants such as PEEK, UHMWPE, bioresorbable polymer scaffolds, and drug-eluting systems on outcomes reported by patients (PROs). Findings from 42 qualifying studies show overall positive impacts on pain alleviation, functional recovery, …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1821–1834 Read article
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Advancement in Image Classification: Media Player Control Using Hand Gestures
Abstract: We explore the development of picture categorization methods in this paper, with an emphasis on how they are used to manipulate media players with hand gestures. Our investigation focuses on the development of machine learning techniques, particularly on supporting vector machines (SVM) and convolutional neural networks (CNN). SVMs are used to identify and authenticate people from digital photos or video clips, but CNNs are great at face detection, which is …
Published in Recent Trends in Electronics Communication Systems · Vol. 11, Issue 2, 2024 · pp. 1–10 Read article
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Magnetic and Radioactive Nanoparticles for Improved Theranostics and AI Assisted Radiation Therapy
Abstract: Nanoparticles based therapeutic and theranostics technique is becoming an active area of research in nanomedicine. The sensitivity, biocompatibility, and stability of magnetic and radioactive nanoparticles determine their functionality. This research highlights the impacts of magnetic and radioactive nanoparticles on therapeutic techniques namely, cell therapy, gene therapy, and tissue regeneration. Then, it is intended to brief a principal role of these therapeutic techniques to envisage theranostics medicine and radiation therapy using …
Published in International Journal of Advance in Molecular Engineering · Vol. 3, Issue 2, 2025 · pp. 10–21 Read article
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Performance of Artificial Neural Network for Tree Species Identification using Sentinel-2 Data
Abstract: Accurate land cover mapping, especially concerning vegetation, is crucial for effective land use policy planning and sustainable forest management. Hence, achieving accuracy in mapping requires a deep understanding of composition changes, vegetation conditions, and the spatial distribution of tree species. In the spatial context of tree species, it holds significant potential for applications including invasive species monitoring, delineating contaminated areas, and biodiversity conservation. However, traditional methods for tree species identification …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 2, 2024 · pp. 12–21 Read article
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An Overview of Artificially Generated Neural Networks Inside the Brain’s Structure in an Alzheimer’s Disease Patient
Abstract: Alzheimer’s disease produces significant neuronal loss, while the precise mechanisms and timing are yet unknown. Other types of cell death, such necroptosis, parthanatosis, ferroptosis, and cuproptosis, need further investigation. Based on brain images of people with mild cognitive impairment, this study assesses artificial neural networks (ANNs) used to diagnose and predict Alzheimer’s disease (AD). This research was conducted considering growing recognition among researchers and medical professionals regarding the importance of …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 15, Issue 2, 2025 Read article
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Development and Characterization of Antimicrobial Polymer Composites for Food Packaging Applications
Abstract: The increasing demand for sustainable and antimicrobial food packaging materials has led to extensive research in polymer-based composites. This study focuses on developing a polyethylene terephthalate-ethylene vinyl acetate (PET-EVA) composite reinforced with metal oxide nanoparticles (MONs), including Cu₂O, ZnO, and MgO₂. These nanoparticles were selected for their antimicrobial properties and ability to enhance the functional characteristics of the composite. Structural, chemical, mechanical, and barrier properties were extensively evaluated to determine …
Published in Journal of Polymer & Composites · Vol. 13, Issue 5, 2025 · pp. 86–93 Read article
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Animal Species Prediction Using Deep Learning
Abstract: In the face of escalating biodiversity loss, effective monitoring of animal species is critical for conservation efforts. This study presents a deep learning approach for species detection and a multimodal feature identification technique for animals vulnerable to poaching. The suggested prediction system recognizes objects automatically by the application of deep learning techniques to detect objects and then recognize them by using computer vision techniques, and it is triggered when an …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 14–22 Read article
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The Impact of Nanotechnology in Transforming Neuro-oncology - A Comprehensive Review
Abstract: The treatment of central nervous system (CNS) tumours, including aggressive malignancies like glioblastoma, faces significant challenges. The blood–brain barrier (BBB) blocks nearly 98% of small-molecule drugs from achieving therapeutic levels in the brain, and the heterogeneity of these tumours frequently contributes to treatment resistance and poor outcomes. Traditional approaches, including chemotherapy and radiotherapy, are hindered by systemic toxicity and inadequate drug penetration. Nanotechnology provides a promising alternative, as nanoparticles (NPs) …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 627–637 Read article
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Advances in Multiclass Oral Cancer Detection Using Spectroscopic and AI Techniques
Abstract: Oral cancer, primarily OSCC, is still a major health issue worldwide, especially in low-HDI countries. Early diagnosis is essential since survival rates for early detection are much higher than for late-stage detection. However, traditional methods like visual inspection and biopsy are time-consuming, invasive, and rely on the clinician's skill, which is a limitation in accessibility and efficiency. Oral cancer detection has just been revolutionized by recent advances in spectroscopic techniques, …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 3, 2025 · pp. 39–48 Read article
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Sensor Technologies in Robotics: A Review of Vision, Tactile, and Proximity Sensing Systems
Abstract: Robotics has undergone remarkable advancements in recent decades, largely driven by the integration of cutting-edge sensor technologies. Sensors serve as crucial for allowing robots to precisely logic, interpret, and react to the world around them. Among the most essential sensor types used in robotics are vision sensors, tactile sensors, and proximity sensors. These technologies strengthen a robot’s capacity for successful navigation, for example, object manipulation, and contact with people and …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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Geospatial Assessment of Land Use and Land Cover Changes in Debrigarh Wildlife Sanctuary, Odisha: A Twenty-Year Perspective
Abstract: Among the recorded dynamic processes on the surface of the earth is the change in land use and land cover (LULC) pattern as an outcome of several anthropogenic practices. Planning, development, and management of land for sustainable usage of land depend on plotting and tracing the vagaries in LULC. Anthropogenic activity, generally for forestry and food production, is altering the land surface. The steadily diminishing landscape also has tragic implications …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 14, Issue 2, 2025 · pp. 12–27 Read article
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Advances in Polymer-Based Materials for Dental Applications: A Case Study on PVC and Ceramic Coatings in Digital Mouth Mirrors
Abstract: Polymeric materials play a crucial role in modern dentistry, providing improved mechanical properties, biocompatibility, and enhanced functionality in dental instruments. These materials contribute significantly to the advancement of dental tools, ensuring durability, safety, and efficiency. This study explores the application of polyvinyl chloride (PVC), ceramic coatings, and anti-fog polymer layers in the development of a digital mouth mirror. The integration of these materials results in enhanced durability, corrosion resistance, and …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 244–252 Read article
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Unlocking Wellness by Ayurveda with Contrasting Modern Medicine
Abstract: In the modern world, we are so subordinate to drugs that we are unable to imagine a single day without them. Like smartphones, we are also addicted to pharmaceuticals, which significantly impact our lives. Constant utilization of medicine makes resistance and dependence on the medicament. It moreover has diverse side effects that cause various health hazards. As people become aware of this, the utilization of herbal remedies has expanded worldwide. …
Published in Research and Reviews: A Journal of Medicine · Vol. 14, Issue 3, 2024 · pp. 16–20 Read article
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Acalypha Indica Root Fibre in Polymer Composite: Mechanical Characterization
Abstract: The mechanical characteristics of Acalypha Indica root fibre reinforced epoxy resin composites, including tensile strength, tensile modulus, percentage of elongation, flexural strength, and impact strength, were studied. Composites were fabricated using epoxy glue and randomly oriented fibres of 3 mm length in varying weight ratios of 10%, 20%, 30%, and 40%. The hand layup method was followed by compression moulding to construct the composites. The study aimed to determine the …
Published in Journal of Polymer & Composites · Vol. 13, Issue 3, 2025 · pp. 512–522 Read article
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Automated System for Attendance Tracking and Management Using Face Recognition
Abstract: A camera is used by an attendance tracking system that uses facial recognition to snap photos of people. After that, a computer program analyzes these images and uses facial feature analysis to identify specific individuals. Subsequently, the system can ascertain whether or not the identified individuals are present, by comparing the identified individuals to a database that already has information about known individuals. This technology can be used to expedite …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Breaking Barriers: Overcoming Challenges for Women in STEM in India-A Conceptual Perspective
Abstract: STEM education which brings together Science, Technology, Engineering, and Mathematics has become the foundation for success in today’s fast-changing, technology-driven world. It helps students think critically, solve real-world problems, and adapt to new innovations like artificial intelligence, robotics, data science, and biotechnology. In a country like India, where digital transformation is reshaping every sector, STEM education is not just an academic choice but a key to national growth and progress. …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 8–13 Read article
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Integrated Remote Sensing Indices for Assessing Pre-Monsoon Water Scarcity Vulnerability in a Semi-Arid Coastal Ecosystem: A Case Study of Barda Wildlife Sanctuary, Gujarat, India
Abstract: Freshwater availability fundamentally shapes the structure and function of dryland ecosystems, where evapotranspiration exceeds precipitation for most of the year. Protected areas in semiarid regions face intensifying hydrological stress from climate variability, growing wildlife populations, and resident human communities, yet systematic spatial assessments of water scarcity remain scarce for many critical habitats. The Barda Wildlife Sanctuary in coastal Gujarat, India, has recently become a secondary home for the endangered Asiatic …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article