Search
572 articles for “emissivity”
-
AI-Driven Intelligent Energy Management System for Enhancing Electric Vehicle Efficiency and Range
Abstract: Electric Vehicles (EVs) are crucial in mitigating the emission of greenhouse gases and facilitating sustainable transportation. Their performance is however limited by the capacity of the battery, unpredictable weather conditions and ineffective use of energy. The paper suggests an AI-based Intelligent Energy Management System (IEMS) to increase EV efficiency and driving range. The suggested system combines machine learning (ML), model predictive control (MPC), and real-time data analytics to optimize power …
Published in International Journal of Electrical Power and Machine Systems · Vol. 4, Issue 2, 2026 Read article
-
Anthropogenic Intensification and Emerging Air Pollution Patterns across the Western Himalaya: Multi-Year Spatiotemporal Case Study
Abstract: Anthropogenic intensification is profoundly impacting air quality within vulnerable mountain ecosystems, yet the availability of long-term, high-resolution data from the Western Himalaya is strikingly limited. This study provides a detailed multi-year (2020-2024) spatiotemporal analysis of particulate matter (PM10 and PM2.5), nitrogen oxides (NOₓ), ammonia (NH3), and ozone (O3) concentrations across contrasting anthropogenic settings—specifically, tourist influx zones such as Dharamshala and industrial hotspots like Damtal in Himachal Pradesh, India. Key pollutants …
Published in International Journal of Atmosphere · Vol. 3, Issue 2, 2026 · pp. 7–25 Read article
-
Multiscale Catalytic Strategies for Sustainable Chemical Production: Integrating Computational Catalysis, Process Technology and Biocatalytic Transformations
Abstract: The transition toward sustainable chemical manufacturing requires catalytic technologies capable of maximizing resource efficiency, minimizing greenhouse gas emissions, and enabling the utilization of renewable feedstocks. Recent advances in computational catalysis, process technology, and biocatalytic transformations have created opportunities for the development of integrated catalytic platforms spanning molecular, reactor, and process scales. Density functional theory (DFT), machine learning-assisted catalyst discovery, and multiscale modeling have accelerated the rational design of heterogeneous, homogeneous, …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 27–35 Read article
-
Federated Learning Framework for Sustainable Multi-Scale Design of Recyclable Thermoplastic Graphene Composites in Smart Manufacturing Environments
Abstract: The growing demand for sustainable advanced materials has accelerated the development of recyclable thermoplastic graphene composites for next-generation smart manufacturing systems. The typical central optimization methods have challenges with data privacy, scalability, and poor collaboration between distributed manufacturing sites. By combining material informatics, edge intelligence and distributed artificial intelligence, this study introduces a Federated Learning (FL) framework to design recyclable thermoplastic graphene composites at multiple scales sustainably. The proposed framework …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
-
A Ventilated Dual-Function Photonic–Phononic Metasurface for Simultaneous Passive Radiative Cooling and Low-Frequency Noise Mitigation in Building Envelopes: Conceptual Design and Computational Feasibility Analysis
Abstract: Acoustic metamaterials for sound insulation and photonic/radiative-cooling metamaterials for passive thermal management have each matured separately for building-envelope retrofit, but existing studies address ventilation, acoustic damping and radiative thermal control in isolation, and no reported unit-cell architecture co-designs all three within a single shared structure. This gap persists because materials that are acoustic absorptive are generally dense and structurally opaque, whereas materials that are highly solar-reflective are conventionally applied to …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
-
AI-Enabled Green Supply Chains: A Cross-Case Empirical Analysis of Sustainable Sourcing Disclosures in Indian Manufacturing Firms
Abstract: The growing integration of artificial intelligence into supply chain systems has begun to reshape how firms approach environmental responsibility and sustainable sourcing. While discussions around green supply chains often remain conceptual, limited empirical attention has been paid to how companies actually disclose and operationalize AI-enabled sustainability practices. This study examines the extent to which artificial intelligence is embedded within green supply chain strategies by conducting a cross-case empirical analysis of …
Published in International Journal of Sustainability · Vol. 3, Issue 2, 2026 · pp. 28–37 Read article
-
Structural, Morphological, Optical, and Electrical Properties of Sol–Gel Synthesized Bismuth Ferrite Nanoparticles for Photovoltaic Applications
Abstract: Solar cells are a promising renewable energy source, converting solar energy into electrical power. The performance and efficiency of solar cells can be enhanced by incorporating multiferroic materials, which have the potential to improve energy conversion. Bismuth ferrite (BFO) is one such material that has attracted attention for photovoltaic applications due to its bandgap energy, which ranges from 2 eV to 2.7 eV. However, its practical efficiency is currently low …
Published in Journal of Materials & Metallurgical Engineering · Vol. 16, Issue 2, 2026 · pp. 28–41 Read article
-
IOT- Based Smart Transportation Management System
Abstract: Rapid urbanisation has created a situation in which traffic congestion has become one of the major problems affecting many aspects such as, mobility, safety and environmental quality. The solution for traffic management problems is a smart transportation management system (STMS) based on the Internet of Things (IoT) concept. This framework will improve the efficiency of traffic management with real time monitoring and control of traffic. The proposed system will consist …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 Read article
-
A IoT-Enabled Predictive Intelligence for Real-Time Failure and Damage Evolution Monitoring of Polymer Composites
Abstract: Damage assessment of carbon-fibre-reinforced polymer composites is still challenging since the damage occurs as a combination of matrix cracking, interfacial debonding, delamination and fibre fracture. The present work proposes a framework for predictive-intelligence based on IoT for multiaxial fatigue and compression-after-impact (CAI) CFRP experiments, employing publicly available acoustic-emission (AE) datasets. A causal CNN–GRU attention model is developed by integrating time-domain, spectral, wavelet, loading-history and trend features to estimate the damage …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
-
Waste-to-Wealth: Role of Green Bioprocess Engineering in Resource Recovery and Environmental Protection
Abstract: Green bioprocess engineering is a sustainable approach that improves industrial production by combining biotechnology with eco-friendly engineering methods. It uses biological processes – such as microbes, enzymes, and renewable resources – to produce useful products with a reduced environmental impact. Unlike traditional methods that depend on fossil fuels and generate significant waste, green bioprocessing focuses on conserving resources, improving energy efficiency, and minimizing waste. Using biomass and agro-industrial waste as …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 16, Issue 2, 2026 · pp. 36–41 Read article
-
AI-Powered Traffic Management System
Abstract: An artificial intelligence (AI)-based traffic management system is an innovative and intelligent project for improving urban traffic control and emergency response using AI and artificial vision. With the rapid increase in vehicle numbers and urban populations, traditional traffic management systems are unable to effectively address all real-time traffic situations due to congestion, fuel consumption, and emergency deceleration. To address these limitations, this project utilizes the YOLOv8 (You Only Look Once, …
Published in Trends in Transport Engineering and Applications · Vol. 13, Issue 2, 2026 · pp. 14–19 Read article
-
Role of Supplementary Cementitious Materials in Enhancing Strength and Workability of Green Concrete
Abstract: This collective review of ten seminal papers on green concrete highlights the growing emphasis on sustainable construction practices through the use of recycled materials, industrial by-products, and supplementary cementitious materials (SCMs). The studies consistently demonstrate that green concrete can significantly reduce carbon emissions, enhance durability, and maintain structural integrity comparable to conventional mixes. Experimental investigations confirm the viability of incorporating fly ash, silica fume, slag, quarry dust, and recycled concrete …
Published in Journal of Construction Engineering, Technology & Management · Vol. 16, Issue 2, 2026 · pp. 16–20 Read article