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1474 articles for “experience”
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Vani-Adapt: A Zero-Shot Accent Trans-Adaptation Framework for Robust Indic Speech Recognition
Abstract: In countries like India with multilingual and accent-rich dialects, speech-based human–computer interaction is important to expand digital services for better accessibility. Even with recent advancements in Automatic Speech Recognition (ASR), existing systems are still very reactive to regional accents and non-standard speech patterns which is not suitable for seamless experience. Traditional perspectives rely on accent-specific fine-tuning, which is unrealistic for real-world deployment and requires a lot of labeled data, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 17–22 Read article
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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified one-stop …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 35–51 Read article
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A Review on Hybrid Honeycomb Engine Mounts for Vibration Isolation in Variable Compression Ratio Engines
Abstract: The increasing sophistication of modern engine systems has highlighted the importance of advanced vibration control methods. Engines today are required to function under continuously changing operating conditions, particularly in Variable Compression Ratio (VCR) systems, where vibration behavior becomes highly complex, non-linear, and dependent on time. Under such circumstances, conventional engine mounts often struggle to deliver stable and consistent performance. In contrast, hybrid honeycomb structures offer significant advantages due to their …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 29–34 Read article
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Planar-to-Rotary G-code Transformation Via Post-Processing for Discrete 4-Axis Machining
Abstract: Conventional 4-axis CNC machining remains inaccessible to many due to the high costs of industrial hardware and the complexity of firmware modifications for entry-level controllers. This paper presents a software-defined framework that enables Planar-to-Rotary G-code Transformation, allowing standard 3-axis CNC systems to perform discrete 4-axis machining without hardware retrofits or firmware changes. The core of the proposed method is a custom Python-based post-processor that maps Cartesian XZ toolpaths onto a …
Published in International Journal of Computer Aided Manufacturing · Vol. 12, Issue 1, 2026 · pp. 50–66 Read article
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Investigating the Effects of Severe Plastic Deformation on Aluminium Alloy Properties: A Comparative Study
Abstract: Equal channel angular pressing is a metal forming process. It serves as a strengthening treatment through which ductile metals can be processed to refine their grain and subgrain structure. This process improves the mechanical performance of metals, including tensile strength, stress-controlled fatigue strength, and resistance to fatigue crack propagation. Equal channel angular pressing is one of the severe plastic deformation methods employed to produce ultrafine-grained materials. In this method, a …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 26–43 Read article
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Synthesis and Characterization of Quinacridone Violet (Pigment Violet 19): Process Optimization and Colorimetric Evaluation
Abstract: Objective: This study focuses on the synthesis and characterization of Quinacridone Violet (Pigment Violet 19), a high-performance organic pigment known for excellent lightfastness and durability. The research aims to optimize the manufacturing process and evaluate the colorimetric properties of the synthesized pigment. Methods: PV 19 was synthesized via a multi-step process involving condensation, oxidation/hydrolysis, and ring closure/cyclization reactions. Two experimental batches (MM#973-A1/B1 and MM#974-A1/B1) were prepared with varying mole ratios …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 41–51 Read article
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A Study on Machine-Learning-Driven Insight into theThermal Behavior of Polymers and Composite Materials
Abstract: The thermal performance of polymeric and composite systems underpins their suitability for aerospace, electronics, and energy‑storage applications, yet reliable prediction of temperature‑dependent properties remains a formidable challenge. In this work we present a data‑driven framework that harnesses modern machine‑learning (ML) techniques to forecast key thermal metrics – glass‑transition temperature (Tg), melting point (Tm), thermal conductivity (k), and decomposition onset (Td) – from a chemically informed descriptor space. A curated database …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 1–11 Read article
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Process Optimization of Copper Phthalocyanine Pigment PB15:3: A Sustainable Solvent Reduction Strategy for Industrial Applications
Abstract: Copper phthalocyanine pigments, particularly PB15:3 (beta-phase), represent cornerstone materials in the global colorants industry with applications spanning automotive coatings, printing inks, and engineering plastics. Conventional synthesis routes for PB15:3 necessitate copious volumes of high-boiling organic solvents – predominantly dimethylaminoethanol (DMAE) and aromatic hydrocarbons – posing significant environmental burdens and economic constraints. This study presents a systematic investigation of solvent quantity optimization in the pigment finishing process of CI Pigment Blue …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 · pp. 21–40 Read article
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Recent Advances in the Development and Performance Optimization of Advanced Metallic Alloys
Abstract: The continuous demand for high-performance materials in aerospace, automotive, energy, and biomedical industries has accelerated research and development in advanced metallic alloys. Metallurgy and alloy design play a crucial role in achieving superior mechanical, thermal, and chemical properties while maintaining cost efficiency and sustainability. This study presents a comprehensive overview of recent advances in metallic alloy development, focusing on novel alloying strategies, microstructural control, and performance optimization techniques. Emphasis is …
Published in International Journal of Metallurgy and Alloys · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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A Overview on Reimagining MOSFET as Precision Thermal Sensor
Abstract: In the landscape of modern microelectronics, the transition from discrete sensing components to fully integrated silicon solutions have become a necessity for the advancement of the Internet of Things (IoT) and high-performance computing. This design explores the utilization of the MOSFET as a primary temperature-sensing transducer, leveraging its inherent thermal sensitivity rather than treating heat as a parasitic interference. By operating the MOSFET in the subthreshold (weak inversion) or saturation …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 1, 2026 · pp. 8–13 Read article
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IoT-Based Fault Detection in Distribution Lines
Abstract: Quickly detecting and pinpointing failures in electrical distribution lines are important for shortening the duration of service interruption, reducing maintenance costs and increasing safety. In this work, we propose a realistic architecture for an Internet-of-Things (IoT)-enabled fault detection system designed for distribution networks. In order to continually assess electrical characteristics including voltage, current, frequency, temperature, and line status, the suggested architecture combines inexpensive, dispersed sensor nodes placed along feeders and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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A Review of Adaptive Power Control Methods in Broadband Networks
Abstract: Broadband communication networks have experienced rapid growth due to the increasing demand for high-speed wireless connectivity, multimedia services, cloud computing, and Internet-based applications. As network traffic and user density continue to rise, efficient power management has become an essential requirement for maintaining communication quality, improving spectrum utilization, and reducing overall energy consumption. Adaptive power control methods play a critical role in optimizing transmission performance by dynamically adjusting signal power according …
Published in International Journal of Broadband Cellular Communication · Vol. 12, Issue 1, 2026 · pp. 17–28 Read article
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The Cellphone Communication Crisis: Lost Signals, Dropped Calls
Abstract: Cellular communication is becoming an important feature of modern life offering immediate connectivity for personal, commercial and emergency communications. But poor network performance, lost calls, weak signals and limited coverage continue to be serious concerns for users around the world. The essay addresses the emerging crisis in cellular communication by assessing the main reasons for connectivity problems, such as network congestion, inadequate infrastructure, geographical obstacles, and technology constraints. The rapid …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 49–53 Read article
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A Study on AI in 7G Mobile Communication
Abstract: The imminent transition from 5G to the seventhgeneration (7G) mobile ecosystem promises to redefine connectivity through unprecedented data rates, pervasive ultralow latency, and holistic integration of terrestrial, aerial, and spaceborne networks. Central to this evolution is Artificial Intelligence (AI), which is poised to become the nervous system that orchestrates, optimizes, and secures the hyperdynamic 7G fabric. This paper surveys the emerging AIdriven paradigms that will underpin 7G, focusing on three …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 1, 2026 · pp. 29–39 Read article
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Sustainable Cementitious Composites withEpoxy–Alccofine Synergy
Abstract: This research examines the combined influence of epoxy resin and Alccofine when used as partial substitutes for cement in producing sustainable, high-performance concrete. The study aims to improve both strength and durability properties while simultaneously reducing cement usage and its environmental impact. Concrete mixes were prepared with epoxy resin contents of 0%, 5%, and 10% by weight of cement, along with Alccofine replacement levels of 5%, 10%, and 15%. The …
Published in International Journal of Concrete Technology · Vol. 12, Issue 2, 2026 · pp. 1–12 Read article
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Outcome of Diverse Nitrogen Applications and Seed Rates for Attaining Quantitative and Qualitative Wheat Crop Production
Abstract: The application rates of nitrogen and seed can significantly improves the quality of nutrients and productivity is wheat (Triticum aestivum L.) crops. To discourse it, an experiment in field was conducted in Khyber Pakhtunkhwa, Mardan District (SCRI) Sugar Crop Research Institute, Pakistan with the name of “Effect of Different Seed Rates and Nitrogen Application for Obtaining Qualitative and Quantitative Production in Wheat Crop”. This research assessed (150, 120, 90 and …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 31–47 Read article
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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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Psychological Impacts of Built Environments in Varied Office Types: A Survey–Literature Comparative Analysis
Abstract: Modern workplaces are no longer just places to sit and work – they are environments that shape how people think, feel, and perform every single day. A well-designed office can energize, calm, or motivate its users, while a poorly designed one can quietly drain their focus and well-being. This study examines how lighting, ventilation, acoustics, privacy, greenery, and spatial layout influence the psychological experience of office users. Insights from 20 …
Published in International Journal of Landscape Planning and Architecture · Vol. 12, Issue 1, 2026 · pp. 52–61 Read article
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Nanotechnology-Enabled Non-Invasive Teeth Whitening: Safety, Efficacy, and Regulatory Perspectives with a Focus on India, Asia, and Developed Countries
Abstract: Demand for tooth whitening is growing worldwide, but conventional peroxide-based bleaching is associated with dentin hypersensitivity, enamel softening, and soft tissue irritation, especially under repeated or high-concentration use. Nanotechnology offers a new class of non-invasive whitening strategies that aim to combine esthetic improvement with enamel protection and remineralization. Among these, nanohydroxyapatite (nanoHAP) toothpastes and gels have the most advanced evidence base; in vitro and in situ studies indicate that nanoHAP …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 12, Issue 1, 2026 Read article
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Quantum Dots in Oral Diagnostics and Theranostics: Promise and Preclinical Status
Abstract: Quantum dots in oral diagnostics and theranostics represent a rapidly evolving, largely preclinical strategy that couples highly sensitive optical imaging with targeted therapeutic delivery in the oral cavity. Their size-dependent emission, high photostability, and broad excitation spectra allow bright, multiplexed visualization of key molecular events in oral potentially malignant disorders and oral squamous cell carcinoma, while surface functionalization with antibodies, peptides, or smallmolecule ligands enables selective binding to dysplastic and …
Published in International Journal of Applied Nanotechnology · Vol. 12, Issue 1, 2026 · pp. 18–25 Read article