Solar energy production in India and commonly used technologies—An overview
This review uses a more holistic approach to provide comprehensive information and up-to-
date knowledge on solar energy development in India and scientific and technological …
date knowledge on solar energy development in India and scientific and technological …
WaferSegClassNet-A light-weight network for classification and segmentation of semiconductor wafer defects
As the integration density and design intricacy of semiconductor wafers increase, the
magnitude and complexity of defects in them are also on the rise. Since the manual …
magnitude and complexity of defects in them are also on the rise. Since the manual …
[PDF][PDF] Applications of Machine Learning Techniques for Fault Diagnosis of UAVs.
LA Al-Haddad, AA Jaber - SYSTEM, 2022 - ceur-ws.org
Due to the heavy usage of Unmanned Aerial Vehicles (UAVs) and the co-evolution of
modern technologies, a crucial introduction to fault diagnosis has taken place in recent …
modern technologies, a crucial introduction to fault diagnosis has taken place in recent …
Organic solar cells defects classification by using a new feature extraction algorithm and an EBNN with an innovative pruning algorithm
Physical defects reduce the organic solar cells (OSC) functioning. Throughout the OSC
fabrication process, the defects can occur, for instance, by scratches or uneven …
fabrication process, the defects can occur, for instance, by scratches or uneven …
Adaptive random down-sampling data augmentation and area attention pooling for low resolution face recognition
X Gao, Y Sun, Y Xiao, Y Gu, S Chai, B Chen - Expert Systems with …, 2022 - Elsevier
State-of-the-art face recognition method have achieved satisfactory performance on various
face datasets, but limited to high-resolution (HR) faces. In real scenes, with affects from …
face datasets, but limited to high-resolution (HR) faces. In real scenes, with affects from …
Applications of TQM processes to increase the management performance of enterprises in the Romanian renewable energy sector
M Busu - Processes, 2019 - mdpi.com
This paper focuses on total quality management (TQM) processes and their applications to
increase the management performance of enterprises in the renewable energy sector …
increase the management performance of enterprises in the renewable energy sector …
Gas path parameter prediction of aero-engine based on an autoregressive discrete convolution sum process neural network
Z Cui, Z Yan, M Zhao, S Zhong - Chaos, Solitons & Fractals, 2022 - Elsevier
In order to improve the approximation ability of neural network to functional and improve the
prediction accuracy of time series data, this paper proposes an autoregressive discrete …
prediction accuracy of time series data, this paper proposes an autoregressive discrete …
Synthesis of group II-VI semiconductor nanocrystals via phosphine free method and their application in solution processed photovoltaic devices
M Hou, Z Zhou, A Xu, K Xiao, J Li, D Qin, W Xu, L Hou - Nanomaterials, 2021 - mdpi.com
Solution-processed CdTe semiconductor nanocrystals (NCs) have exhibited astonishing
potential in fabricating low-cost, low materials consumption and highly efficient photovoltaic …
potential in fabricating low-cost, low materials consumption and highly efficient photovoltaic …
[PDF][PDF] Modeling of dielectric behavior of polymers nanocomposites using adaptive neuro-fuzzy inference system (ANFIS)
RA Mohamed - The European Physical Journal Plus, 2022 - Springer
The research presents a theoretical study on modeling of dielectric properties of polymer
nanocomposites based on adaptive neuro-fuzzy inference system (ANFIS). The research …
nanocomposites based on adaptive neuro-fuzzy inference system (ANFIS). The research …
Simulation of metaheuristic intelligence MPPT techniques for solar PV under partial shading condition
CH Hussaian Basha, C Rani, RM Brisilla… - Soft Computing for …, 2020 - Springer
The nonlinear characteristics of solar PV consist of different MPPs under the partial shading
condition. Hence, it is difficult to find out true MPP. The conventional MPPT methods are not …
condition. Hence, it is difficult to find out true MPP. The conventional MPPT methods are not …