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744 articles for “Densities”
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An Intelligent Complexity-Performance Tradeoff Model of Asynchronous Random Access Protocols in Distributed Edge Computing Using Software Science with Halstead
Abstract: The paradigm shift towards Distributed Edge Computing (DEC) has changed the entire world of the Internet of Things (IoT) connectivity to its core and has spawned the need to implement robust Asynchronous Random Access (ARA) protocols to deal with the contention between a huge range of diverse devices that are constrained by their resources. While there is now extensive optimization of these protocols in contemporary research for channel efficiency (throughput, …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 13, Issue 2, 2026 Read article
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Effects of Fiber Hybridization on Tensile, Flexural, and Impact Strength of Hybrid Natural Fiber Epoxy Composites
Abstract: This study investigates the mechanical performance of epoxy composites reinforced with hemp, ramie, and flax fibers and evaluates the effect of fiber hybridization. Single-fiber composites were fabricated using hand lay-up followed by vacuum-bagging consolidation and compared with three hybrid systems: hemp–flax (HF), hemp–ramie (HR), and flax–ramie (FR). Tensile, flexural, and drop-weight impact properties were evaluated using standardized test procedures. Among the single-fiber composites, flax exhibited the highest tensile strength of …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 · pp. 295–305 Read article
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Implementation of a 4-Bit Synchronous Counter in SkyWater 130 nm CMOS Technology Using Open-Source EDA Tools
Abstract: As semiconductor technology continues to scale down, the physical layout of integrated circuits has become increasingly critical in determining performance, power consumption, and area efficiency. This paper presents the complete physical design implementation of a 4-bit counter, from Register Transfer Level (RTL) to GDSII, using the SkyWater 130 nm open-source Process Design Kit (PDK) and the OpenLane automated physical design flow. Functional verification of the RTL design was initially performed …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 2, 2026 Read article
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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
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AI-Driven Dairy Ledger: Enhancing Efficiency with Machine Learning
Abstract: The dairy business nevertheless has ongoing difficulties with financial management, record-keeping, and operational effectiveness, which frequently lead to resource mismanagement, human mistakes, and revenue losses. These problems are most noticeable on small- to medium-sized farms where manual labor is the primary method. This study introduces an AI-driven Dairy Ledger, a complete machine learning-powered system designed to automate and optimize key dairy functions, such as tracking cow feed orders, managing milk …
Published in Trends in Machine design · Vol. 13, Issue 2, 2026 · pp. 36–46 Read article
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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
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Integrated Computational and Bio-catalytic Transformations: DFT-Guided Mechanistic Insights, Machine Learning, and Nano-biocatalyst Engineering for Sustainable Catalysis
Abstract: Computational catalysis has emerged as a transformative scientific discipline that integrates quantum chemistry, molecular modeling, machine learning, and density functional theory (DFT) to understand catalytic mechanisms and design highly efficient catalytic systems for sustainable industrial applications. The increasing global demand for environmentally responsible chemical manufacturing has accelerated research on advanced catalytic materials including transition metal catalysts, metal–organic frameworks (MOFs), homogeneous catalysts, heterogeneous systems, and bimetallic catalysts involving nickel and iron. …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 36–44 Read article
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From Quantum Chemistry to Bioprocess Intensification: Advanced Computational Modeling and Enzyme-Based Catalytic Platforms for Green Chemical Transformations
Abstract: Green chemistry requires the development of sustainable catalytic systems that minimize waste generation, reduce energy consumption, and improve process efficiency. Computational chemistry and biocatalysis have emerged as complementary approaches for environmentally responsible chemical manufacturing. Computational techniques such as quantum chemistry, density functional theory (DFT), molecular dynamics, and machine learning provide mechanistic insights into catalytic reactions and support the rational design of efficient catalysts. These approaches enable the prediction of reaction …
Published in Journal of Catalyst & Catalysis · Vol. 13, Issue 2, 2026 · pp. 45–52 Read article
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Physics-Informed Machine Learning and Multiscale Modeling for Structure–Property Quantification of Polymer Composites
Abstract: The growing need for light-weight, high strength, and sustainable polymer composites has led to the development of smart methods that enable accurate structural-property quantification and material design. However, conventional methods have been predominantly data-based, thus ignoring physical constraints as well as multi-scale interactions involving fiber, matrix, interface, and process parameters, leading to lower accuracy and poor robustness and interpretability of the models. In this study, a Cat Swarm Optimization-Tuned Physics-Informed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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Box Plots: An Introduction to the Visual EDA Wonder
Abstract: A box plot, also known as a box-and-whisker plot, is a widely used statistical graphic that provides a concise summary of the distribution of numerical data. By displaying key descriptive measures such as the median, quartiles, interquartile range (IQR), minimum and maximum values, and potential outliers, box plots allow researchers to quickly understand the spread and central tendency of a dataset. They are especially useful when comparing distributions across multiple …
Published in Research & Reviews : Journal of Statistics · Vol. 15, Issue 2, 2026 · pp. 20–30 Read article
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Thin-Film Quantum Photonic Technologies for Quantum Teleportation
Abstract: One of the most important protocols in distributed quantum computing and quantum communication is quantum teleportation, which allows quantum information to be sent between distant nodes without actually sending the quantum particle. The teleportation process is fundamentally based on quantum entanglement, Bell state measurements, and classical communication channels, which collectively allow the accurate reconstruction of an unknown quantum state at a remote location. In recent years, rapid progress in integrated …
Published in Journal of Thin Films, Coating Science Technology & Application · Vol. 13, Issue 2, 2026 · pp. 01–19 Read article
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Properties and Recent Progress in Oxide-Based Thermoelectric Materials
Abstract: Advanced thermoelectric materials that can be used efficiently for energy conversion have received significant research interest for the last decade because of the mounting demand for sustainable and eco-friendly energy technologies. The main advantage of thermoelectric materials is their capability to directly convert the waste heat into electrical energy which makes them highly promising for the recovery of waste heat from industrial processes, automotive systems and power generation applications. Oxide-based …
Published in International Journal of Energy and Thermal Applications · Vol. 4, Issue 2, 2026 Read article
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Heteroatom modified carbon dots (N, P, K): synthesis, surface functionalization, and prospects for soil‑fertility enhancement
Abstract: Heteroatom‑functionalized carbon dots (H‑CDs) have emerged as a class of zero‑dimensional carbon nanomaterials offering tunable optical, electronic, and catalytic properties through controlled nitrogen, phosphorus, and potassium doping. This review highlights the chemistry and chemical‑technology dimensions of N‑, P‑, and K‑doped carbon dots (N‑CDs, P‑CDs, K‑CDs), focusing on their synthesis strategies, surface functionalization, and structure–property relationships. Conventional routes such as microwave‑assisted pyrolysis, hydrothermal carbonization, and one‑pot solvothermal methods are discussed, with …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 30–35 Read article
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Mechanical Characterization of Bio-Based Polymer Composites Manufactured by Additive Manufacturing
Abstract: The use of bio-based polymer composites in additive manufacturing is becoming more and more attractive, but their mechanical properties are very sensitive to the loading of reinforcement, the orientation of the raster and defects of the printing process. In this study, the mechanical properties of PLA–bagasse composites produced by material extrusion were studied, focusing on the influence of the reinforcement fraction and the deposition structure. The composites were tested with …
Published in Journal of Polymer & Composites · Vol. 14, Issue 4, 2026 Read article
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AI-Optimized Nano-Silica Reinforced PCM Composites for Predictive Solar-Thermal Energy Storage Networks
Abstract: This study presents an AI-optimized nano-silica reinforced polymer composite phase change material (PCM) for predictive solar-thermal energy storage networks. The proposed composite combines paraffin wax, high-density polyethylene (HDPE), and uniformly dispersed nano-silica particles to improve thermal conductivity, structural stability, leakage resistance, and long-term cycling performance. The composite was fabricated through melt blending and ultrasonication-assisted nanoparticle dispersion, followed by comprehensive morphological, chemical, thermal, and thermophysical characterization using scanning electron microscopy (SEM), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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Mechanical Characterization of Untreated Banana Fiber Reinforced PLA Bio-Composites Manufactured by 3D Printing
Abstract: This study investigates the development and mechanical characterization of fused deposition modeling (FDM) filaments utilizing polylactic acid (PLA) reinforced with untreated banana fibers (BF). To address the brittleness of pure PLA and valorize agricultural waste, composite filaments with fiber loadings of 0, 1, 3, and 5 wt.% were fabricated using a single-screw extruder. A Taguchi L16 orthogonal array was employed to optimize printing parameters, including fiber percentage, raster angle, infill …
Published in Journal of Polymer & Composites · Vol. 14, Issue 5, 2026 Read article
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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
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Acoustical and Thermodynamical Studies of L- Glycine in Buffer Solution of Different pH at 298.15 K
Abstract: The volumetric, viscometric, and acoustical studies are used to investigate the exchange of L-Glycine in a buffer solvent system of different pH at 298.15K within a concentration range of 0.02 to 0.10 molal. L-glycine, being the simplest amino acid, serves as an important model compound for understanding molecular exchanges in biological systems. The effect of pH on the physicochemical properties of amino acid solutions is of considerable significance, as it …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 17, Issue 2, 2026 · pp. 48–58 Read article
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Mathematical Analysis and Stability Analysis of Coupled Orbital–Attitude Dynamics for Autonomous Spacecraft under Perturbative Forces
Abstract: Autonomous spacecraft operating in Earth orbit are subjected to coupled translational and rotational dynamics influenced by gravitational and environmental perturbations. Accurate mathematical characterization of these interactions is essential for trajectory prediction, attitude stabilization, autonomous navigation, and mission reliability. This study develops a nonlinear mathematical framework for coupled orbital–attitude dynamics of an autonomous spacecraft under perturbative forces. The translational dynamics are formulated using the two-body gravitational model augmented by the second …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 15, Issue 2, 2026 Read article
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Performance-Based Fire Safety Assessment and Optimization of a Mixed-Use High-Rise Building Using NBC 2016, Hydraulic Adequacy, and Evacuation Time Analysis
Abstract: This paper presents a performance-based fire safety assessment of a simulated 92 m mixed-use high-rise building containing parking, commercial, office, and residential occupancies. Rather than relying only on prescriptive compliance, the study evaluates whether the installed fire protection strategy can maintain tenable conditions and deliver adequate suppression performance during a credible design fire. Using the base data supplied for the Metro Central Tower case, the work determines fire load density, …
Published in Journal of Industrial Safety Engineering · Vol. 13, Issue 2, 2026 · pp. 1–9 Read article