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795 articles for “future”
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Sonochemical Synthesis of Copper Nanoparticles:Process Fundamentals, Scale-Up Challenges, andIndustrial Opportunities
Abstract: The sonochemical synthesis of copper nanoparticles (Cu NPs) has emerged as a powerful and widely investigated strategy in nanomaterials research, owing to the unique physicochemical conditions generated during ultrasonic irradiation. Acoustic cavitation induced by sonication produces transient microenvironments characterized by extremely high local temperatures, pressures, and rapid cooling rates, which collectively enable efficient reduction of copper precursors into nanoscale particles. These conditions cannot be easily achieved through conventional synthetic routes, …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 37–43 Read article
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Hybrid Organic–Inorganic Metal Halide Perovskite Solar Cells: A Comprehensive Review of Materials, Device Architectures, Stability, Hysteresis, and Commercialization Challenges
Abstract: Hybrid organic–inorganic metal halide perovskite solar cells (PSCs) have emerged as a major focus of photovoltaic research due to their remarkable increase in power conversion efficiency, reaching 28% within a short period. Perovskite materials exhibit several attractive properties, including long charge-carrier diffusion lengths, tunable band gaps, and excellent light absorption capability. In addition, their low-cost fabrication processes combined with high efficiency make PSCs strong competitors to conventional silicon-based solar cells. …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 12, Issue 2, 2026 · pp. 47–60 Read article
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Brain-Inspired Computing: The Rise of Neuromorphic AI
Abstract: Neuromorphic computing is an emerging computing paradigm that draws inspiration from the structure and operational principles of the human brain. By integrating ideas from neuroscience, computer design, and materials science, neuromorphic systems aim to deliver high-performance, low-power computation that is suitable for smart data processing. Unlike traditional von Neumann architectures, neuromorphic hardware uses massively parallel processing, event driven computation, and adaptive learning. This paper provides an overview of neuromorphic principles, …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 12, Issue 2, 2026 Read article
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RIS-Assisted 6G Wireless Communication: BER, Security Gain and Multi-Metric Performance Analysis
Abstract: Reconfigurable Intelligent Surfaces (RISs) provide programmable control over wireless signal propagation and are emerging as a promising technology for enhancing the reliability, energy efficiency, coverage, and physical-layer security of sixth generation (6G) wireless networks. This paper presents a unified simulation-based performance evaluation of conventional SISO, 4G SIMO, and 6G multi-antenna communication systems, followed by an RIS-assisted reliability and security analysis under Rayleigh fading conditions. The simulation results demonstrate that antenna …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Deep Learning Techniques for Optimizing Resource Allocation and Sustainability in the Next Generation of 6G Wireless Networks
Abstract: The upcoming sixth generation (6G) of wireless communication networks aims to meet challenging requirements such as ultra-reliable low-latency services, massive connectivity for billions of smart devices, and intelligent automation across highly diverse environments. Along with these goals, the issues of energy efficiency and environmental sustainability are becoming equally important, as the rising number of users and traffic volumes will directly increase power demand and carbon emissions. To lower total energy …
Published in International Journal of Broadband Cellular Communication · Vol. 11, Issue 2, 2026 Read article
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Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems
Abstract: The growing share of renewable energy sources in the energy mix, particularly photovoltaic (PV) installations, has resulted in the reduced grid inertia and system strength, thus presenting new challenges in terms of voltage and frequency stability in weak grid situations. Conventional grid-following (GFL) inverters rely on synchronizing with the grid and performing relatively poorly under specific situations such as disturbances, voltage sags, or islanding. It has been the aim of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Integrating Machine Learning with Edge Computing for Real Time Data Analytics
Abstract: Smart devices such as mobile phones, sensors, cameras, etc., are producing a huge amount of data every second. This data is normally sent to cloud servers for processing. This approach is normally slow and expensive, and it also raises a lot of privacy issues as data is sent over the internet, which takes a lot of time to return with results. This study aims to address the issue through the …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 2, 2026 Read article
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Detailed survey on detection of Dirtiness of PV panels using different approaches
Abstract: The accumulation of dust, dirt, bird droppings, pollen, and other environmental contaminants on photovoltaic (PV) panels significantly reduces their power generation efficiency and increases operational and maintenance costs. Therefore, timely and accurate detection of the cleanliness condition of solar panels is essential for maintaining optimal energy production, improving system reliability, and extending the operational lifespan of PV installations. In recent years, considerable research interest has been directed toward automated soiling …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Exploration of Explainable Artificial Intelligence (XAI) Techniques to Enhance Model Interpretability
Abstract: Explainable Artificial Intelligence (XAI) has become a major research field because of the rising application of complex machine learning and deep learning models in actual decision-making systems. Although such models are accurate, they are in many cases black boxes and therefore the users do not have much understanding of the way the decisions are generated. This absence of transparency brings up some serious concerns connected with trust, accountability, fairness, and …
Published in International Journal of Electrical Power System and Technology · Vol. 12, Issue 2, 2026 Read article
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Antenna and Beam-Control Optimization of RIS-Assisted 6G Links: Phase Resolution, Directivity and Energy Efficiency
Abstract: This paper presents an antenna-oriented investigation of reconfigurable intelligent surface (RIS)-assisted sixth- generation (6G) wireless links, emphasizing practical design factors beyond conventional RIS versus non-RIS bit-error-rate comparisons. Four parameters are evaluated: phase-shifter resolution, reflected-beam directivity, aperture-dependent spectral efficiency, and controller-aware energy efficiency. A Rayleigh-fading binary phase-shift keying (BPSK) link is used for reliability analysis, while the RIS is modeled as a uniformly spaced reflective aperture through its array factor. The …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 12, Issue 2, 2026 Read article
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Hybrid Quantum-Classical Signal Processing for High-Dimensional Feature Extraction in Smart Instrumentation
Abstract: Hybrid quantum–classical signal processing has emerged as a promising paradigm for overcoming the computational limitations of conventional algorithms in analyzing high-dimensional data generated by modern smart instrumentation systems. This paper presents a novel hybrid quantum–classical signal processing framework designed for efficient feature extraction from complex, multidimensional sensor signals encountered in industrial monitoring, biomedical diagnostics, environmental sensing, and intelligent manufacturing. The proposed architecture integrates quantum variational circuits with classical deep learning …
Published in International Journal of Microwave Engineering and Technology · Vol. 12, Issue 2, 2026 Read article
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Fault-Tolerant Modular Power Converter for Large-Scale Renewable Energy Integration
Abstract: The rapid expansion of large-scale renewable energy systems has significantly increased the demand for highly reliable and fault-resilient power electronic converters capable of maintaining stable grid operation under component failures and fluctuating renewable power generation. This paper proposes a Fault-Tolerant Modular Power Converter (FTMPC) for large-scale renewable energy integration, incorporating a modular multilevel architecture, intelligent fault diagnosis, and adaptive reconfiguration control to ensure uninterrupted power conversion. The proposed converter continuously …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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A Review on Touchless Calling Bell
Abstract: On the principle of proximity or motion detection using an ultrasonic sensor or infrared (IR) sensor. In the modern world, automation and cleanliness are essential for guaranteeing ease and safety in our day-to-day activities. The Touchless Calling Bell is a modern and innovative device designed to eliminate the need for physical contact while operating a doorbell. Traditional doorbells require users to press a switch manually, which may lead to the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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A Review on LIFI- Data Transmitting System
Abstract: Using visible light as a channel for high-speed data transfer, Li-Fi (Light Fidelity) is a quickly developing wireless communication technology that offers a highly effective and cutting-edge substitute for traditional radio frequency (RF)-based systems like Wi-Fi and Bluetooth. With the exponential growth of connected devices and the increasing demand for faster and more reliable communication, the RF spectrum is becoming congested, leading to reduced performance and interference issues. In order …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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Microbial and Enzymatic Degradation of Polyethylene: Molecular Mechanisms, Omics Approaches, and Biotechnological Applications
Abstract: Abstract: Polyethylene (PE), a commonly used synthetic polymer, is highly resistant to natural breakdown, leading to serious environmental and ecological issues such as soil and marine pollution, the formation of microplastics, and risks to wildlife and human health. Recent efforts have focused on using microbial and enzymatic processes to handle polyethylene waste. Microorganisms such as bacteria (Pseudomonas, Bacillus), fungi (Aspergillus, Penicillium), and algae produce enzymes like laccases, peroxidases, oxygenases, and …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 12, Issue 2, 2026 Read article
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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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Revolutionizing Bone Grafting: A Survey of 3D Printed Solutions
Abstract: Due to the limits of conventional grafts, large bone deficiencies resulting from illness or trauma continue to be a significant clinical challenge. Autografts, while osteoconductive and osteoinductive, are limited by donor availability and morbidity, and allografts/xenografts carry risks of immune rejection and disease transmission. In contrast, 3D printing (additive manufacturing) enables fabrication of patient-specific bone scaffolds with controlled architecture, composition, and bioactivity. Using techniques, like selective laser sintering (SLS), stereolithography …
Published in International Journal of Composite Materials and Matrices · Vol. 12, Issue 2, 2026 · pp. 16–23 Read article
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A Study to Assess the Effectiveness of a Structured Teaching Programme on Knowledge Regarding Newborn Care Among Postnatal Mothers at Selected Hospitals in Rourkela, Sundargarh, Odisha
Abstract: The neonatal phase encompasses the initial four weeks of a baby's existence. A lot of complicated physiological changes happen, and the baby responds to all sorts of stimuli, during this time. Efficacious and continuous care is required at this time. "Newborn care includes determining if resuscitation is necessary, conducting a full medical examination, giving the baby immunisations and preventative drugs, making sure the baby gets enough to eat, gets enough …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 2, 2026 · pp. 26–33 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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Bluetooth Controlled Car
Abstract: The design and execution of a wireless remote-controlled vehicle that employs Bluetooth technology, generally paired with an Arduino microcontroller, is the focus of this project. The primary aim is to develop a cost-efficient, easily accessible, and user-friendly prototype car, which can be accurately maneuvered in various directions (forward, backward, left, and right) through commands dispatched from a Bluetooth-enabled smart device, such as a smartphone or tablet. In this endeavor, an …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 2, 2026 Read article