Search
847 articles for “estimate”
-
Polymer Composite-Integrated Food Waste Management Across the Supply Chain: Quantification, Process Modelling, and Techno-Economic Valorization
Abstract: Food waste produced throughout the global food supply chain constitutes one of the most impactful forms of inefficiency within the current food production system, producing roughly 931 million tons per year and resulting in economic losses above $1 trillion worldwide each year. One aspect that has not been sufficiently studied systematically is how polymer composite materials, such as membrane separation systems, polymer-coated extraction equipment, fiber-reinforced polymer (FRP) biorefinery infrastructure, and …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 819–836 Read article
-
Deep Learning-Based Thermal Prediction Models for Solid-State Electronic Devices
Abstract: The rapid advancement of solid-state electronic devices in high-performance computing, communication systems, automotive electronics, and renewable energy applications has significantly increased concerns related to thermal management and device reliability. Excessive heat generation in semiconductor devices adversely affects operational efficiency, switching performance, lifespan, and overall system stability. Traditional thermal prediction methods often require complex numerical computations and extensive simulation time, making them less suitable for real-time monitoring and adaptive control applications. …
Published in International Journal of Solid State Innovations & Research · Vol. 4, Issue 1, 2026 Read article
-
Autonomous 6G Physical Layer Architectures for Space-Air-Ground Integrated Networks
Abstract: The emergence of sixth generation (6G) wireless systems calls for a significant shift away from conventional deterministic communication models. As communication infrastructures evolve into Space- Air-Ground Integrated Networks (SAGIN), traditional physical layer (PHY) techniques struggle to operate effectively under the severe Doppler effects and long propagation delays associated with space environments. This paper examines the role of artificial intelligence embedded directly within the 6G transceiver architecture to enable ultra-reliable and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 13, Issue 2, 2026 · pp. 21–31 Read article
-
Neuro-Symbolic Agentic AI for Autonomous Scientific Discovery: Integrating Deep Reinforcement Learning, Quantum Simulation, and XAI-Audited LLM Hypothesis Generation in Drug Target Identification
Abstract: The exponential growth of multi-omics data and the increasing complexity of disease-associated protein interactomes have rendered conventional drug target identification pipelines computationally and epistemologically inadequate. This paper presents the Neuro-Symbolic Agentic AI for Scientific Discovery (NS-AASD) framework, a unified architecture that cohesively integrates deep reinforcement learning (DRL) exploration strategies, variational quantum simulation (VQS) of protein conformational dynamics, and XAI-audited large language model (LLM) hypothesis generation within an autonomous scientific discovery …
Published in Research and Reviews : Journal of Computational Biology · Vol. 15, Issue 2, 2026 · pp. 15–24 Read article
-
Efficient Partial Update Algorithm over Wireless Networks
Abstract: Adaptive partial update algorithm is developed based on incremental method. The proposed algorithm applies in real time changing environment. The proposed algorithm responds to linear estimation with nodes in cooperative manner and less number of computations. The algorithm has powerful advantage is that it requires less number of coefficient and reduced computational and communication complexity in wireless sensor network. It is efficient because it has power of solving distributed estimation …
Published in Current Trends in Signal Processing · Vol. 6, Issue 3, 2016 · pp. 1–8 Read article
-
Incremental Partial Update Strategies Over Distributed Networks
Abstract: This paper presents a partial update adaptive strategies based on incremental techniques. The proposed strategies apply to the problem of linear estimation with less number of computations in a cooperative manner. A partial update technique for updating the LMS filter coefficient is an effective method for reduced computational load and power consumption in adaptive filter implementation. It is promising approach to reducing complexity, potential to improve performance while permits complexity …
Published in Current Trends in Signal Processing · Vol. 5, Issue 2, 2015 · pp. 1–8 Read article
-
Image Registration–Implementation and Performance Analysis using Log-polar Transformation
Abstract: This paper presents an image registration algorithm for affine motion recovery. The images which are to be registered may be misaligned due to rotation, scale and translation the algorithm presented in the paper estimates affine transformation parameters to register this images. The parameters are computed using a variation of the Levenberg-Marquadt nonlinear least squares optimization method in a coarse-to-fine hierarchical framework. To precisely registers images with subpixel accuracy this method …
Published in Current Trends in Signal Processing · Vol. 2, Issue 1-3, 2012 · pp. 49–55 Read article
-
Monitoring of Disable Patients with their Medical conditions using K-NN Classifier Algorithm
Abstract: In this paper a general procedure for the infirmity assessment of patients with ineptitudes is presented. It relies upon consistently activity examination using ordinary accelerometer sensors conveyed by the noticed person while at home without clinical staff present. The k-NN classifier is being used to study six different types of activities after preliminary data pre-planning, followed by further decreases in estimation and confirmation time. Promising results are gotten which could …
Published in Current Trends in Signal Processing · Vol. 12, Issue 2, 2022 · pp. 1–7 Read article
-
Assessment of a Wind Energy Conversion System for Sustainable Hydrogen Production by Alkaline Water Electrolysis in India: Effect of Geographical Location and Wind Turbine Type
Abstract: The use of wind energy for electricity generation and use of this electricity for hydrogen production by alkaline water electrolysis promises to be a truly sustainable scheme for the postulated hydrogen economy. This work addresses the feasibility assessment of a standalone wind energy based turbine generator system that meets the energy requirements of the electrolysis process at several locations in India. Energy requirement for electrolysis depends on the hydrogen production …
Published in Emerging Trends in Chemical Engineering · Vol. 4, Issue 2, 2017 · pp. 5–22 Read article
-
Experimental Investigations on the Durability of PMMA Microfluidic Devices Fabricated by Hot Embossing Lithography with Plasma Processing for Bioengineering Applications
Abstract: In this research paper, total 1290 individual static contact angles of different working liquids have been measured and recorded on the flat polymethylmethacrylate (PMMA) surfaces. Total 474 individual PMMA microfluidic devices have been fabricated by the maskless lithography, hot embossing lithography and direct bonding technique inside the cleanroom laboratory and mechanical engineering workshop to determine the durability of these microfluidic devices. Total nine individual working liquids have been used to …
Published in Emerging Trends in Chemical Engineering · Vol. 3, Issue 3, 2016 · pp. 1–18 Read article
-
Application of Statistical Method to Determine Lithium Battery Capacity for Electric Vehicles
Abstract: In this paper, an empirical method, based on statistical analysis, is proposed to determine correction factor for Li-Po battery capacity calculation. The method uses statistical analysis for the estimation of the battery capacity, using a capacity correction factor previously determined. The method takes into account the effects that the discharge current has on (the) battery capacity. The method has been tested in two types of lithium batteries, Li-ion and LiPo …
Published in Journal of Automobile Engineering and Applications · Vol. 7, Issue 2, 2020 · pp. 25–35 Read article
-
Reduction of Electric Vehicle Driving Range Due to Battery Capacity Fading
Abstract: This paper is mainly focused to the estimation of the reduction of the driving range in electric vehicles due to battery capacity fading as a consequence of the aging effects with cycling. A scale model reproducing the real driving conditions in electric vehicles has been used to develop a simulation process to evaluate the incidence of the cycling on the battery capacity fading. The model on which the simulation has …
Published in Journal of Automobile Engineering and Applications · Vol. 8, Issue 2, 2021 · pp. 1–16 Read article
-
Applications of Artificial Neural Network in Construction Engineering and Management: An Academic Literature Review and Direction for Future Research
Abstract: One of the artificial intelligence topics is artificial neural network in whichdata processing system is the idea of the human brain.The cause of processing data is many processorsthat treat in parallel form in order to solve the problem.The applications of artificial neural network with neuron model and different network architecture can be used to estimate, predict and modelling of complex problems in construction management. In order to bridge the gap …
Published in Journal of Construction Engineering, Technology & Management · Vol. 6, Issue 1, 2016 · pp. 24–38 Read article
-
Critical Termination Reasons Influencing High-Way Projects in Nigeria
Abstract: Viable road network is one of the major infrastructural yardsticks for assessing economic development of a country. It is complex and characterized with different elements which influence its operational efficiency. The project clients desired quality service within contractual cost and time, but usually these objectives are not met. The objective of this paper is to determine most critical reasons for terminating high-way projects in Nigeria with data obtained from 60 …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 2, 2015 · pp. 33–45 Read article
-
Life Assessment of a Pre Cracked Cricket Bat
Abstract: Cricket is an interesting game played in many countries wherein a bat made of willow wood is used to strike a leather ball to score runs. This bat fails at a much faster rate in the presence of a crack when compared to a normal bat. In this study, an attempt is made to assess the life of a pre-cracked cricket bat. A crack is initiated in the weak spot …
Published in Journal of Experimental & Applied Mechanics · Vol. 10, Issue 3, 2019 · pp. 22–29 Read article
-
PV System Performance in Variable Climatic Conditions
Abstract: This paper is focused to the study of the panel temperature operating under different climatic conditions; to this goal a detailed model has been developed to estimate the response of the panel temperature to various scenarios. The model has been designed based on energy balance, where temperature of the panel is estimated applying heat exchange processes with the environment, mainly convection and radiation, considering the effects of ambient temperature, wind …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 11, Issue 2, 2021 · pp. 11–27 Read article
-
Enhancing Process Safety Management in the Wellestablished Steel Industry: A Holistic Approach to Thorough Hazard Identification, Rigorous Risk Assessment, and Safety Improvement
Abstract: In order for any industry to achieve success, it is crucial to identify hazards, assess associated risks, and mitigate them to an acceptable level. Due to the inherent nature of operations and the complexity of systems, procedures, and methods, industrial activities inherently involve certain levels of hazards. Hazard analysis plays a pivotal role in identifying potential undesirable events that can lead to hazards, analyzing the mechanisms by which these events …
Published in Journal of Industrial Safety Engineering · Vol. 10, Issue 2, 2023 · pp. 26–32 Read article
-
Uncertainty Prediction in Brain Tumour Segmentation
Abstract: Gliomas are one of the most common brain tumour at different levels of the province, with Magnetic Resonance Imaging (MRI) used for diagnosis. In this project, It was asked to try to find uncertainty in the Brain Tumour Segmentation on MRI images using the BraTs19 Dataset and to look at how machine learning algorithms can work with these MRI images. Since these tissues are so large in shape and appearance, …
Published in Journal of Instrumentation Technology & Innovations · Vol. 13, Issue 2, 2023 · pp. 40–52 Read article
-
Early Heart Disease Prediction Using Hybrid Machine Learning Techniques
Abstract: In the contemporary era, cardiovascular disease is one in all the most causes of death within the world. Estimating Heart problems i.e cardiopathy is a crucial challenge within the area of clinical data analysis. Large volumes of data produced by the healthcare sector have been proved to be useful for helping with decision-making and speculation, thanks to machine learning (ML).. Various studies help us to review and supply glimpse into …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 35–41 Read article
-
Evaluation of SAR and Temperature Elevation in Human Head for Advanced Wireless Services (AWS) Application
Abstract: In this paper, the specific absorption rate (SAR) and the temperature rise in the SAM phantom human head model as a consequence of the exposure to radiation of planar inverted F (PIFA) mobile handset antenna has been estimated at Advanced Wireless Services (AWS) band downlink frequency range. Biological hazards on human head owing to electromagnetic wave (EMW) exposure in advanced wireless services has been analyzed by computing the temperature rise …
Published in Journal of Microwave Engineering and Technologies · Vol. 3, Issue 3, 2016 · pp. 19–24 Read article