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901 articles for “challenges.”
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article
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Heritage-Sensitive Redevelopment of Bhuleshwar,Mumbai: A Sustainable Urban Development Approach
Abstract: Bhuleshwar, one of the oldest commercial precincts in South Mumbai, represents a unique urban landscape where traditional markets, religious institutions, historic architecture, and craft-based economies coexist within a dense mixed-use environment. Renowned for its imitation jewellery trade, flower markets, textile shops, and temple precincts, the area serves as an important cultural and economic hub. However, rapid urbanization, aging infrastructure, overcrowding, traffic congestion, deteriorating building conditions, inadequate sanitation, and redevelopment pressures …
Published in International Journal of Architectural Heritage · Vol. 9, Issue 2, 2026 Read article
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Integrating 3D Printing Technology in Sustainable Interior Design forEnhanced Human Comfort and Environmental Stewardship
Abstract: As people spend nearly 70% of their time indoors, the quality of interior environments has a significant impact on human comfort, health, and overall well-being. Many indoor spaces are negatively affected by pollutants and toxins originating from construction materials, furnishings, surface finishes, and inadequate ventilation, often contributing to issues such as Sick Building Syndrome (SBS). Enhancing indoor environmental quality (IEQ) has therefore become a critical concern within sustainable design. This …
Published in International Journal of Sustainable Building Technology · Vol. 9, Issue 2, 2026 · pp. 13–18 Read article
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Securing Smart Electrical Systems through Comparative Analysis of Machine Learning Models for Classification
Abstract: In the realm of cybersecurity, the intersection of technology and security measures has spurred significant advancements, particularly in safeguarding electrical systems against cyber threats. This research delves into the evolving landscape of cybersecurity within electrical systems, leveraging machine learning techniques to mitigate challenges. By incorporating cybersecurity protocols with machine learning algorithms, this study demonstrates enhanced security measures tailored for electrical infrastructures, pivotal in ensuring efficiency and resilience. Through meticulous examination, …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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An Extensive Analysis of QC's Difficulties & Restrictions
Abstract: QC constitutes a fundamental shift in computational paradigms by exploiting quantum mechanical phenomena namely superposition, entanglement, and interference to achieve computational advantages over classical systems for specific problem domains. Despite significant theoretical progress, the realization of large-scale, fault-tolerant quantum computers remains impeded by a range of intrinsic and technological constraints. This paper offers a thorough & critical analysis of the principal challenges associated with QC, with a focus on de- …
Published in International Journal of Analog Integrated Circuits · Vol. 12, Issue 2, 2026 Read article
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Entropy-Based Damage Accumulation in Tribological Systems: A Comprehensive Review
Abstract: This paper reviews classical wear models and entropy-based degradation approaches used for predicting failure in tribological systems. Various wear models, thermodynamic frameworks, and applications of the Degradation Entropy Generation (DEG) theorem are discussed. Friction, which is the primary source of heat generation in tribological contacts, is responsible for material degradation through a variety of irreversible processes. While classical wear approaches have been widely used for wear prediction and life estimation, …
Published in International Journal of Mechanics and Design · Vol. 12, Issue 1, 2026 · pp. 1–12 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 Read article
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Automated Vehicle classification and counting for Smart City Traffic management using AI/ML and DL
Abstract: Traffic jams and safety on the road have become a serious problem in modern cities. They need smart and versatile solutions. This project is a proposal to use automated vehicles to count and classify real- time vehicles. The system will enhance the traffic monitoring and management in smart cities. It can identify and differentiate the various kinds of vehicles: cars, trucks, buses, and motorcycles by utilizing machine learning on real-time …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 12, Issue 1, 2026 Read article
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Integrated Telecommunication Systems: Networking,Security, and Emerging Technologies inNext-Generation Communication Networks
Abstract: Integrated telecommunication systems play a crucial role in enabling reliable, high-speed, and scalablecommunication across modern digital infrastructures. This paper presents a comprehensive review ofintegrated telecommunication systems with a focus on networking architectures, security mechanisms,and emerging technologies in next-generation communication networks. It examines the fundamentalcomponents of communication systems, including transmission media, communication channels, andstandardized networking protocols, highlighting their contribution to efficient data exchange andsystem interoperability. The study explores both wired and …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 36–45 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Density-Based Separation and Polymer Type Verification of Mixed Post-ConsumerThermoplastic Streams: A Sequential Separation and Contamination Reduction Protocol for Secondary Polymer Supply Chains
Abstract: The separation of mixed post-consumer thermoplastic waste streams into polymer-type-specific fractions suitable for industrial reintegration is a fundamental chemical separation challenge in secondary polymer supply chains. Density-based separation, exploiting the characteristic density ranges of common thermoplastic polymers, remains the dominant first-stage separation technique in commercial recycling operations due to its low cost, scalability, and applicability across mixed waste stream compositions. This paper presents a sequential separation and contamination reduction protocol …
Published in International Journal of Chemical Separation Technology · Vol. 12, Issue 2, 2026 Read article
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An approach for Intelligent detection of dirty PV panels using image processing with YOLOv8
Abstract: The efficiency of solar photovoltaic (PV) systems is greatly affected by the condition of panel surfaces, as dust buildup and other impurities can noticeably reduce power output. Traditional maintenance methods rely largely on manual inspection, which can be subjective, inconsistent, and impractical for large-scale installations. To address these challenges, this work investigates a deep learning-based computer vision approach for the automatic assessment of solar panel cleanliness. In this work, a …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 Read article
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Getting Rid of Carbon: A New Direction for the Chemical Industry
Abstract: The chemical industry is a major contributor to global greenhouse gas emissions due to its reliance on fossil-based feedstocks, energy-intensive processing routes, and long-lived capital infrastructure. Achieving international climate targets therefore requires deep decarbonisation across the entire chemical value chain, a transition complicated by technological limitations, economic risks, and systemic operational barriers. This article critically evaluates key emission-reduction pathways, including electrification of process heat, substitution of fossil resources with bio-based …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 52–61 Read article
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Articulating Precarious Waters: A Critical Review of Pharmaceutical Contaminants, Their Pathways, and Ecological–Health Risks in the Aquatic Systems of Bihar, India
Abstract: The article examines the emerging yet under-documented issue of pharmaceutical contaminants in Bihar’s aquatic environment, focusing on their types, occurrence, sources, and implications for ecology and human health. Pharmaceuticals and personal care products-including antibiotics, non-steroidal anti-inflammatory drugs, analgesics, beta‑blockers, and hormones – are conceptualized as pseudo-persistent pollutants because continuous inputs from households, healthcare facilities, and diffuse anthropogenic activities sustain their presence in surface water and groundwater despite individual compounds having …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 1, 2026 · pp. 28–51 Read article
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BIOPLASTICS AS AN RENEWABLE SOURCE FOR PACKAGING
Abstract: The packaging industry is undergoing a major transformation as the focus shifts toward sustainability and eco-friendly materials. Bioplastics have emerged as a promising alternative to conventional plastics, offering both functional and environmental benefits, especially in the food and pharmaceutical sectors. This analysis highlights the impact of bioplastics on packaging, emphasizing their improved properties, sustainability, and compliance with strict standards. Bioplastics enhance barrier performance, helping extend the shelf life of pharmaceutical …
Published in International Journal of Polymer Science and Engineering · Vol. 12, Issue 1, 2026 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Green Computing Strategies for Reducing Energy Consumption and E-Waste in Modern IT Ecosystems
Abstract: Green computing, also referred to as sustainable computing, addresses the urgent need to reduce the environmental impact associated with the design, operation, and end-of-life management of computing systems. As global reliance on digital technologies continues to expand rapidly, the demand for energy-intensive infrastructure such as data centers, cloud platforms, and network systems has increased significantly. This growth has led to rising energy consumption, higher carbon emissions, and an alarming accumulation …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 7–16 Read article
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AI-Driven Predictive Maintenance in Smart Homes: Enhancing Efficiency and Reliability
Abstract: The convergence of Artificial Intelligence (AI) and the Internet of Things (IoT) has transformed smart homes into intelligent, self-regulating environments. Despite these advancements, ensuring the long-term reliability and efficiency of interconnected devices remains a complex challenge due to device heterogeneity, dynamic usage patterns, and continuous data streams. This study investigates AI-driven predictive maintenance (PdM) as a proactive strategy for detecting early signs of equipment degradation in residential settings. The proposed …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 1–6 Read article
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Chemical Synthesis Strategies and Reaction Mechanisms in Self-Healing Polymeric Materials: A Comprehensive Review
Abstract: Self-healing polymeric materials are one of the most rapidly growing and technologically transformative classes of smart polymeric materials. Such materials offer the ability to autonomously repair damage and retain & restore functional performance. This capability is very important for polymers, which undergo mechanical failure, micro- cracking, delamination, photo-oxidation, or thermal degradation during service environments. The last decade has been remarkable for developments in self-healing polymers, ranging from extrinsic capsule-based approaches …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 12, Issue 1, 2026 · pp. 26–34 Read article