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1076 articles for “ESP-32 CAM”
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A Review of Automated Pomegranate Disease Detection and Classification Using Machine Learning
Abstract: The abstract outlines a research study focused on developing an automated system for detecting and classifying diseases that affect pomegranate fruits. Pomegranates, like many other crops, are vulnerable to several types of diseases that appear as visible colored spots on the fruit’s surface. These visible symptoms, such as lesions or discoloration, can significantly impact the fruit’s quality, market value, and yield. Therefore, timely and accurate identification of such diseases is …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 13, Issue 1, 2026 · pp. 01–13 Read article
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Impact of HIV on Global Health: A Comprehensive Review of Epidemiology and Interventions
Abstract: H.I.V remains a significant health issue of great concern to the world and with great impact to the individuals and communities on a global scale. This is a comprehensive literature review on the epidemiology of HIV, including both the world prevalence of HIV and the regional variations, especially in sub-Saharan Africa. It discusses the most important modes of transmission including sexual, blood, and vertical transmission and investigates the effectiveness of …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 39–45 Read article
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A Comprehensive Review on Mentha arvensis Species
Abstract: Mentha arvensis L., often referred to as field mint or wild mint, is a fragrant medicinal herb in the Lamiaceae family and is extensively found in temperate and subtropical areas. The plant is appreciated for its essential oil, notably high in menthol, which adds to its unique scent and extensive medicinal possibilities. Historically, M. arvensis has been utilized in several medical systems for addressing digestive issues, respiratory problems, headaches, and …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 1, 2026 Read article
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Intelligent Earth: AI As A Catalyst For Climate Action
Abstract: Artificial Intelligence (AI) is assuming an increasingly influential role in climate science, providing advanced tools capable of interpreting vast, complex, and multi-dimensional environmental datasets. Traditional climate modeling approaches, while grounded in physical principles, frequently struggle to deliver high-resolution, real-time, and region-specific forecasts because of heavy computational demands, incomplete observations, and uncertainties in representing small -- scale processes. Artificial intelligence (AI) techniques, especially machine learning and deep learning, provide strong substitutes …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 4, Issue 1, 2026 · pp. 48–52 Read article
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A Review on: Cotard’s Syndrome
Abstract: Cotard’s Syndrome is a rare and severe mental health condition characterized by nihilistic delusions, in which individuals firmly believe that they are dead, no longer exist, or that parts of their body are decaying or missing. These beliefs are not symbolic or metaphorical but are experienced as absolute truths, making the disorder particularly distressing and difficult to manage. The syndrome is most commonly observed in association with major depressive disorder, …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 5–9 Read article
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Typhoid Fever: Etiology, Clinical Manifestations, Diagnosis, and Management
Abstract: Typhoid fever is a systemic and potentially life-threatening infectious disease caused by Salmonella enterica serotype Typhi, which primarily spreads through the fecal-oral route via ingestion of contaminated food and water. It continues to be a major global public health concern, particularly in developing and low-resource countries where poor sanitation, inadequate personal hygiene, and unsafe water supplies prevail. The disease is characterized by prolonged high-grade fever, abdominal discomfort, headache, loss of …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 1–4 Read article
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HPV Vaccination: Broader Implementation and Development of Next-Generation Vaccines Reduce the Incidence of Cervical Cancer
Abstract: Cervical cancer has been an important health issue of global concern which has almost universally been fuelled by the persistent infection of high-risk Human Papillomavirus (HPV). The most effective way of primary prevention is prophylactic HPV vaccination. The extensive real-world evidence obtained through national immunization programs throughout the world has given unambiguous evidence of the effect of the vaccine as a decline in the incidence of high-grade cervical pre-cancers and …
Published in Research and Reviews : A Journal of Immunology · Vol. 16, Issue 1, 2026 · pp. 11–20 Read article
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Ag₂S–Ag Nanocomposites: A Bottom-Up Approach to Enhance Thermoelectric Power Factor at Near Room Temperature
Abstract: The intrinsic ductility, low toxicity, and naturally occurring abundance of silver sulphide (Ag₂S) have made it a potential thermoelectric material in recent years. However, high electrical resistance severely limits its practical application. Here, we present a thorough analysis of how metallic Ag nanoinclusions affect the structural, electrical, and thermoelectric characteristics of Ag₂S nanocomposites made using a simple bottom-up polyol approach. (Ag₂S)₁₋ₓAgₓ nanocomposites with an Ag content ranging from 0 to …
Published in International Journal of Electro-Mechanics and Material Behaviour · Vol. 4, Issue 1, 2026 · pp. 40–55 Read article
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Design and Simulation of Solar Powered Semi-Automatic Grass Cutter
Abstract: The maintenance of large area of grass lawns has always been a tedious task considering continuous human labour and long hours of work. Inorder to reduce the fatigue human work a novel design of automated grass cutting machine powered with a solar panel is designed and simulated for remote operated functioning. The mechanism works with the skeletal frame of a normal grass cutting machine face lifted with ultrasonic sensor for …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 17–24 Read article
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Optimized Machine Learning Framework for Battery State Prediction in Smart Charging Systems
Abstract: Good estimation of battery states, including State-of-Charge (SoC), State-of-Health (SoH), and Remaining Useful Life (RUL), are important in managing energy wisely and controlling the adaptive charging. This work introduces a streamlined machine learning model based on the ability to use multi-dimensional sensor measurements in terms of voltage, current, temperature, and cycle number to forecast battery conditions with high accuracy. Decent preprocessing, such as noise elimination, feature scaling, and calculated features, …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 1, 2026 · pp. 11–23 Read article
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Walking into the future: Energy Harvesting from Foot Fall
Abstract: The rapid depletion of non-renewable energy resources and the rising demand for sustainable alternatives have led to the exploration of innovative energy harvesting technologies. One such approach is harnessing the untapped mechanical energy produced by human footfalls in crowded public areas. This project presents a novel method of electricity generation using a flywheel-based mechanical system that captures and converts footstep energy into electrical energy. The system is designed to be …
Published in Journal of Alternate Energy Sources & Technologies · Vol. 17, Issue 1, 2026 · pp. 28–34 Read article
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The Impact of Using High-Resolution Satellite Images on Improving Geographic Maps
Abstract: By integrating high-resolution satellite images into pre-existing mapping frameworks, this study tackles the problem of guaranteeing correctness and dependability in geospatial data updates. The main goal is to assess which satellite imagery sources—SuperView, Ikonos, QuickBird, and WorldView—are appropriate for updating maps at 1:2500 and 1:5000 scales. The process entails evaluating radiometric quality, geometric dependability, spatial correctness, and picture resolution and comparing the results to the specifications of different mapping tasks. …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 Read article
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A Comprehensive Review on IoT and Edge Computing in Electronics: Trends, Challenges, and Future Directions
Abstract: The Internet of Things (IoT) transformed the electronics industry by enabling ubiquitous connectivity between billions of devices. This has created an unprecedented amount of data, challenging traditional cloud-based architectures with latency, bandwidth, and security issues. Edge computing came as an additive architecture by distributing computation and bringing intelligence to IoT edges to provide real-time responsiveness and reduce dependence on centralized infrastructure. This study offers a thorough analysis of current developments …
Published in Journal of Electronic Design Technology · Vol. 17, Issue 1, 2026 · pp. 1–9 Read article
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Transforming Rare Disease Diagnosis with AI
Abstract: Artificial intelligence is changing healthcare fast. It is making diagnoses accurate, helping doctors get better results, and streamlining how care works. This paper looks at how AI shows up in healthcare right now – where it is already making a difference, what is working, and what is still tricky. The focus is on machine learning, natural language processing, and computer vision. Particular attention is given to using AI in diagnosing …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 1, 2026 Read article
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Fusion of deep learning autoencoders with random forest for wetland classification using Sentinel-2A data: A case study on Sirpur wetland
Abstract: Present study analyses the performance of deep leaning algorithm-autoencoder to reduce data dimension as compared to conventional models. Classification accuracies of Sirpur wetland using Sentinel 2A dataset with different inputs have also been studied. These inputs sets comprise the reconstructed data through compression of original 13 bands into 4 bands using decoder algorithm, first four Principal Components, all spectral bands, and spectral indices. Random Forest classifier (RF) is used to …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 1, 2026 · pp. 25–35 Read article
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Review of Battery Management System and SOC
Abstract: The perception of electric cars (EVs) as a strong alternative to for internal combustion engine automobiles is growing. For electric vehicle (EV) technologies to advance, they must develop quickly, especially in the area of battery technology. light weight, increased energy capacity, quick charging times, lithium-ion (Li-ion) batteries are generally used for electric vehicles (EVs). The efficiency of the battery management system (BMS) and battery performance are critical elements influencing electric …
Published in Journal of VLSI Design Tools and Technology · Vol. 16, Issue 1, 2026 · pp. 08–16 Read article
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Enhancing Border Security: Smart Surveillance System
Abstract: Advanced technology solutions are required to assure safety, prevent infiltration, and efficiently monitor activities in light of the growing risks to national security along international borders. The Enhancing Border Security System: Smart Surveillance System" project suggests a reliable, economical, and clever surveillance system designed for in-the-moment border monitoring. In order to provide a thorough security framework, this system combines contemporary sensors, motion detectors, infrared cameras, and wireless communication modules. Detecting …
Published in Journal of Microcontroller Engineering and Applications · Vol. 13, Issue 1, 2026 · pp. 11–19 Read article
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LPG GAS Weight Measuring Stand.
Abstract: The LPG Gas Weight Measurement Stand is a novel project, with the target to measure the leftover weight of Liquefied Petroleum Gas (LPG) in cylinders precisely so that it can be consumed efficiently and also refilled punctually. Traditional methods depend upon manual guess or weighing scales, which are tiresome and inaccurate. The project presents a dedicated weighing stand with a load cell sensor, microcontroller (such as Arduino or ESP8266), and …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 1, 2026 Read article
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Optimization of Process Parameter in 3D Printing to Minimize Wear Loss and increase Tensile Strength
Abstract: Additive Manufacturing (AM) and especially Fused Deposition Modeling (FDM) has emerged as a very versatile process of manufacturing polymer components with complex and highly-integrated geometries. Polylactic Acid (PLA) is a favorite of the many thermoplastic FDM materials because of its biodegradability, easy processing and predictable mechanical properties. The study aimed at maximizing critical parameters in FDM process in order to reduce wear loss and also increase tensile strength of PLA …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 849–858 Read article
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Assessing Digital Literacy among the Oraon Tribe of Jharkhand: A Study
Abstract: Digital literacy is essential for inclusion and socioeconomic empowerment in the digital era. This study examines the digital literacy levels of the Oraon tribe in Jharkhand, with a focus on identifying skill gaps, demographic disparities, and barriers to digital access. A mixed-methods approach was employed to gather data from respondents in the Ranchi district, utilizing structured questionnaires and interviews. Male respondents made up the majority (61.5%), with the largest age …
Published in Recent Trends in Social Studies · Vol. 3, Issue 1, 2026 · pp. 06–12 Read article