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Article
Carboxymethyl Cellulose Based Biopolymer Electrolyte with Hybrid Fillers for Dye Sensitized Solar Cell
The aim of the present study is to evaluate the potential of both the use of zinc oxide (ZnO) nanoparticles as primary filler and graphene as secondary filler in carboxy methyl cellulose based polymer electrol...
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Article
A deep learning-based approach for detection of lung cancer using self adaptive sea lion optimization algorithm (SA-SLnO)
The main intent of this paper is to design and implement a novel methodology for lung cancer prediction using the patient's health record. Feature extraction is performed using two well-performing approaches l...
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Article
Correction to: Maize crop disease detection using NPNet-19 convolutional neural network
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Article
Low cost and efficient counter electrode for solid-state natural dye-sensitized solar cells
Current studies on dye-sensitized solar cells focus on using low cost materials with high efficiency. Platinum is the most desirable material for the counter electrode of dye-sensitized solar cells but it is a...
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Article
Vehicle detection and traffic density estimation using ensemble of deep learning models
Traffic density estimation can be used for controlling traffic light signals to provide effective traffic management. It can be done in two steps: vehicle recognition and counting. Deep learning (DL) technolog...
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Article
EnsembleNet: a hybrid approach for vehicle detection and estimation of traffic density based on faster R-CNN and YOLO models
Due to static traffic management regulations on roadways, traffic flow may become congested as it has been growing on roads. Estimating traffic density impacts intelligent transportation systems as it helps bu...
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Article
Maize crop disease detection using NPNet-19 convolutional neural network
Convolutional neural network, a strong deep learning technique, is used to detect diseases and perform image processing, recognition, and disease classification. The neural network is a breakthrough in technol...
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Chapter and Conference Paper
A Review on Machine Learning-Based Patient Scanning, Visualization, and Monitoring
One of the most important topics for society is human health care; to find the appropriate diagnose or correct diseases, detection is the primary key to get appropriate care; traditional technique is facing ma...
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Chapter and Conference Paper
COVID-19 Detection and Classification Method Based on Machine Learning and Image Processing
According to WHO, the 2019 new coronavirus outbreak was declared a pandemic in March 2020, and COVID-19 was declared a worldwide epidemic in March 2020. Coronavirus continues to be the most significant cause o...
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Chapter and Conference Paper
A Comprehensive Security Review on Cloud Computing
Both in academics and industry, cloud computing technology is gaining traction. Despite its significance and promise for increased IT effectiveness and cost savings, legal ambiguities around information proces...
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Article
Development of polymer electrolyte based on graphite/MWNTs fillers for sustainable dye-sensitized solar cell
We investigated the use of graphite as primary filler and multi-walled carbon nanotubes (MWNTs) as secondary filler in chitosan-based polymer electrolyte film which aided in increasing the electrical conductiv...
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Article
Performance improvement of Deep Learning Models using image augmentation techniques
The major barrier while using deep learning models is lack of large number of images in the training dataset. In fact, there is a need of thousands of images in each image categories based on the complexity of...
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Chapter and Conference Paper
PVDF-Based Nanocomposite Polymer Electrolyte for Enhancement in Stability of Dye-Sensitized Solar Cells
Dye-sensitized solar cells (DSSCs) based on redox electrolyte solution set the limitation and restriction on its fabrication. Moreover, when this redox electrolyte comes in contact with photoanode causes its c...
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Chapter and Conference Paper
Detection of Emergency Vehicles Using Radio Frequency Identification (RFID)
Road traffic is a major problem in major cities. With the increasing number of vehicles, the resolution of the problem is very crucial. Problems related to traffic not limited to road congestion, but also diff...
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Chapter and Conference Paper
A Novel Approach of Mutual Authentication in Fog Computing
Today, security is a major issue in the cyberworld. The data generated by the devices are more susceptible to threats and attacks than being used. The emergence of cloud computing and IoT changed the whole con...
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Chapter and Conference Paper
An Effective Image Augmentation Approach for Maize Crop Disease Recognition and Classification
Deep learning techniques have been applied to computer vision applications like image recognition and classification successfully. Especially, convolutional neural networks preserve the characteristics of an o...
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Chapter and Conference Paper
Different Techniques in Neural Style Transfer-A Review
Neural Style Transfer is a very good example to show the capability of Convolutional Neural Network (CNN) to generated high-quality images. In style transfer algorithms two input images are present one is a co...
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Chapter and Conference Paper
Big Data-Enabled Solutions for Covid-19
In the time of the pandemic like CORONA, Covid-19, everyone is ftghting against this deadly virus. Besides, governments are looking for a barrier that stops spread of virus until the vaccine is made. In modern...
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Chapter
DoSP: A Deadline-Aware Dynamic Service Placement Algorithm for Workflow-Oriented IoT Applications in Fog-Cloud Computing Environments
The next generation Internet of Things (IoT) applications are offering multiple services and run in a distributed heterogeneous environment. In such applications, Quality of Service (QoS) requirements are in j...
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Article
A novel approach of asymmetric key generation in symmetric AES via ECDH
AES and ECC are considered as the best encryption algorithms, both are approved by NIST and are regarded as next generation algorithm. It is believed that they are quantum computer resistant. The compact ciphe...
