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1970 articles for “E-R” (ranking capped at the first 2,000 matches — narrow the search to see the rest)
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Optimization of a new Bebq2/BCP-based OLED structure for optimum performance
Abstract: Opto-electronic devices exhibit highly nonlinear current–voltage (I–V) characteristics that significantly affect charge injection, transport, and recombination, evaluating their performance remains a difficult challenge. Device optimization is a key research goal in organic light-emitting diodes (OLEDs), as the thickness and arrangement of individual functional layers greatly influence electrical and optical responses. For a suggested Bebq2/BCP-based OLED structure, this work methodically examines the movement of charge carriers, their transport behavior, and the …
Published in Journal of Semiconductor Devices and Circuits · Vol. 13, Issue 2, 2026 Read article
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AI-Driven Carbon Capture and Utilization: Advancing Sustainable Solutions for Climate Change Mitigation
Abstract: Climate change stands out as one of the biggest challenges for our planet today, as it poses a threat unprecedented to global ecosystems and human societies. This phenomenon is primarily driven by the increase in atmospheric greenhouse gases, particularly carbon dioxide (CO2), which trap heat in the atmosphere and cause rising global temperatures. These sources are largely industrial processes, transportation, and energy production, all of which rely very much on …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 1, 2025 · pp. 40–48 Read article
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A Lean Manufacturing Approach for Optimization of Lithium-Ion Battery Supply Chains Management
Abstract: The rise of electric vehicles (EVs), energized by the rapid uptake from customers, is propelling an explosion in demand for -running efficient and economical lithium-ion battery supply chains. In answering the call, this paper delves into the application of lean manufacturing principles to optimize lithium-ion battery (LIB) supply chain management by significantly decreasing waste, lead times, and enhancing overall production efficiency. Lean tools are applied for the analysis of battery …
Published in Journal of Production Research & Management · Vol. 14, Issue 3, 2024 · pp. 9–18 Read article
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Performance and Emission Profiles Enhancement of CI Engine with Aluminium Oxide-Reinforced Polymeric Composite in Biodiesel Blends
Abstract: The integration of aluminium oxide (Al₂O₃) nanoparticles into B10 biodiesel blends offers a promising approach to improving engine performance and reducing harmful emissions. This study evaluates the effect of Al₂O₃ additives on Brake Thermal Efficiency (BTE), Brake Specific Fuel Consumption (BSFC), and exhaust emissions in a compression ignition engine. Experiments were conducted using calibrated instruments, and uncertainties were considered with a coverage factor of 1.66, yielding an overall error margin …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 775–788 Read article
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To Propose an Effective Process for Refurbishment Projects: through BIM
Abstract: Building refurbishments include enhancing, upgrading, renovating, retrofitting, and repairing existing structures. The construction sector considers it to be an important component. Building refurbishment projects are known for their high degree of complexity and uncertainty, which frequently incorporates elements like design changes and inadequate or unavailable information that may lead to various issues. Issues related to different stages of refurbishment projects were identified through literature and case studies. According to the …
Published in International Journal of Architectural Design and Planning Read article
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Enhancing Facial Recognition: Assessing CNNs for Detecting Image Manipulation
Abstract: Deepfake technology, powered by highly advanced deep learning models, has raised significant concerns regarding media manipulation, identity theft, and the spread of online disinformation. Due to the increasing sophistication of deepfake content, traditional forensic methods often fail to detect such artificially generated images with high accuracy. Consequently, deep learning-based approaches have become essential in combating this challenge. This study compares six prominent deep learning architectures: VGG16, ResNet50, MobileNetV2, InceptionV3, EfficientNetB0, …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 27–36 Read article
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Effective Use of Library Resources and Services by the End Users at PPSavani University, Surat
Abstract: This qualitative research study examines the perceptions of students and faculty regarding the utilization of library resources and services at P. P. Savani University (PPSU), Surat. While the library has modern infrastructure, an extensive print collection (25,000+ books) and digital collection (64,200+ e-journals, 18,500+ e-books), and full automation via KOHA (a widely used open-source Integrated Library System (ILS)), a nuanced understanding of user experiences is paramount to truly optimize its …
Published in Journal of Advancements in Library Sciences · Vol. 12, Issue 3, 2025 · pp. 33–38 Read article
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Microstructure Analysis and Material Properties of Weld Slag as Fine Aggregate in Concrete
Abstract: To reduce the amount of river sand used, researchers and engineers have developed their own solutions. The well-known technique of submerged-arc welding can create high-quality welds in a variety of thicknesses for ferrous, stainless, and even some non-ferrous metals. The procedure involves an electric current flowing constantly between a welding wire and the work piece, creating an arc. In submerged arc welding, the shielding flux is transformed into slag during …
Published in Recent Trends in Civil Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 13–18 Read article
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Automatic Flame Detection and Tracking
Abstract: Recent advancements in independent robotics, embedded systems, and intelligent perception have appreciably improved the capability of firefighting robots designed for early fire detection, flame localization, and suppression. A broad range of studies explores vision-based and sensor-fusion techniques designed for reliable flame discovery in complex environments. Image-processing approaches—including adaptive edge-detection, infrared/thermal imaging, color-space analysis, and profound learning—are extensively implement to enhance real-time fire gratitude, even in the presence of smoke or …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 4, Issue 1, 2026 · pp. 6–12 Read article
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Animated Transient Response of High Voltage Power Line Towers Equipped with Nonlinear Footing Resistances
Abstract: This study focuses, among other objectives, on the use of animation techniques for visualizing the electromagnetic transients in high voltage power line towers. The model includes parameters such as the tower’s footing resistance and its location-dependent surge impedance. It describes the governing algebraic/partial differential equations expressed in terms of the current and voltage distributions as functions of time and location. The transients are assumed initiated by a lightning discharge of …
Published in Trends in Electrical Engineering · Vol. 14, Issue 1, 2024 · pp. 44–52 Read article
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Additive Manufacturing of Rocket Propulsion System: A Review
Abstract: In recent years plenty of research is going on to produce effective manufacturing techniques which can produce complex unique designs with reduced cost and lead time for aerospace applications. In this aspect, Additive manufacturing is getting a wide range of popularity in the aerospace manufacturing domain due to its vast applications and advantages. In terms of geometric flexibility and processing time, additive manufacturing outperforms conventional manufacturing processes. Additive manufacturing has …
Published in Journal of Materials & Metallurgical Engineering Read article
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Tiny Titans: The Promise of E-Nanorobots in the Fight Against Cancer
Abstract: Cancer, a disease characterized by uncontrolled cell growth, continues to be a leading cause of mortality worldwide. Despite advances in surgery, radiation, and chemotherapy, significant challenges remain in achieving targeted and effective treatments without harmful side effects. But what if we could deploy microscopic robots, engineered at the nanoscale, to precisely target and destroy cancerous cells while leaving healthy tissue untouched. The fascinating possibilities of e-nanorobots are driving extensive research …
Published in Journal of Advancements in Robotics · Vol. 12, Issue 2, 2025 · pp. 11–21 Read article
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Evaluating the Role of Platelet Indices, with a Focus on Immature Platelet Fraction (IPF), in Differentiating Hyper-Destructive and Hypo-Productive Thrombocytopenia: A Study from Ludhiana, Punjab, India
Abstract: Background: Thrombocytopenia, characterized by a reduction in platelet count, is commonly observed in clinical settings. Its etiology can be broadly classified into hyper-destructive thrombocytopenia, where platelets are destroyed at an accelerated rate, and hypo-productive thrombocytopenia, where platelet production is impaired. Differentiating between these two causes is essential for effective management. The Immature Platelet Fraction (IPF) has emerged as a promising non-invasive diagnostic tool to distinguish these causes. Objectives: The primary …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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Variation In Wave Steepness and Wave Age-A Case Study in The Arabian Sea from Buoy Measurements During Post-Monsoon
Abstract: The National Institute of Ocean Technology (NIOT) moored buoy measurements in the Central Arabian Sea (AS) at AD07 location (68.87 E, 15.07 N) during the year 2015 are utilized to understand wind and wave growth characteristics at this location during the post- monsoon season covering the three-month period from October to December (OND). The wave direction followed the wind from Northeast while the swells were predominantly from the Southern Indian …
Published in Journal of Offshore Structure and Technology · Vol. 12, Issue 2, 2025 · pp. 10–21 Read article
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Advancing Tropical Medicine: Interdisciplinary Approaches, Innovation, and Health System Strengthening
Abstract: Tropical medicine encompasses a diverse range of infectious diseases prevalent in tropical and subtropical regions, presenting complex challenges to global health. This review offers an extensive examination of critical aspects within tropical medicine, emphasizing recent progress and upcoming avenues of research. Interdisciplinary collaboration is highlighted as essential for addressing the multifaceted nature of tropical diseases, with healthcare professionals, veterinarians, ecologists, epidemiologists, and social scientists working together to tackle complex health …
Published in International Journal of Tropical Medicines · Vol. 1, Issue 2, 2024 · pp. 1–13 Read article
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Designing of a Rooftop Penthouse for Indoor and Outdoor Living
Abstract: Rooftop penthouses offer an exclusive and luxurious living experience with their stunning views and outdoor spaces. The concept of rooftop living is becoming increasingly popular, especially in urban areas where space is limited. Designing a rooftop penthouse for indoor and outdoor living refers to creating a living space on the top floor of a building that provides both indoor and outdoor living areas. The design aims to maximize the use …
Published in International Journal of Urban Design and Development · Vol. 1, Issue 2, 2023 · pp. 13–24 Read article
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Quasi-Dimensional Thermodynamic Performance and Emission Modelling for Dual-Fuel SI Engine Operation Using Waste-Based Producer Gas and Methane
Abstract: Rising energy crisis and urgent need for better waste-handling techniques have gained significant attention. Integration of wastes-to-wealth and Green Energy evolution techniques are prime sustainable measures towards countering this menace. Moreover, Internal Combustion (IC) engines are significant energy consumers and their emissions play a major factor in global warming and ecological obliteration. Concerning these aspects, investigations should strive at emissions minimization and reutilization of low-impact industrial byproducts. Thus, using methane …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 446–458 Read article
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An Analytical Study on Learning Difficulties in Estimation Theory Among Undergraduate Engineering Students
Abstract: Estimation Theory is a critical mathematical foundation for all engineering disciplines, enabling learners to model uncertainty, analyse signals, and derive optimal estimators. However, undergraduate students frequently struggle with its abstract properties, complex derivations, and prerequisite statistical concepts. This study investigates the key learning difficulties faced by students across multiple engineering branches using diagnostic tests, structured questionnaires, and interviews. The findings reveal that students commonly experience challenges related to weak probability …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 1, 2026 Read article
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Magnetic Metal–Polymer Composites with Ferromagnetic Particle Networks for EMI Shielding in Flexible Electronics
Abstract: The rapid expansion of flexible and wearable electronic systems has intensified the demand for lightweight, mechanically compliant materials capable of effective electromagnetic interference (EMI) shielding. In this study, magnetic metal–polymer composites with magnetically aligned ferromagnetic particle networks were developed and systematically investigated for EMI shielding in flexible electronics. Thermoplastic polyurethane (TPU) was employed as an elastomeric polymer matrix due to its excellent flexibility, dielectric characteristics, and compatibility with particulate fillers. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 25–39 Read article
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Detection and Classification of Diabetic Retinopathy Using Deep Learning Techniques
Abstract: This project delves into the evaluation of three prominent deep learning architectures Basic CNN, ResNet, and DenseNet for their efficacy in detecting diabetic retinopathy from retinal images. Utilizing a diverse dataset, the study employs standard deep learning frameworks to train and validate each model. The focus extends to exploring the potential benefits of transfer learning on a limited dataset. Evaluation metrics like specificity, sensitivity, and accuracy are employed for a …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 13, Issue 2, 2024 · pp. 64–69 Read article