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Chapter and Conference Paper
An Efficient Predictive Resource Analysis Using Deep Dyna Q-Based VARMA LSTM Model for Fluctuating Cloud Workloads
In recent years, cloud computing has experienced rapid growth, which has increased the need for efficient resource management and workload analysis. Existing models for predictive resource analysis during fluc...
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Article
Mutated Deep Reinforcement Learning Scheduling in Cloud for Resource-Intensive IoT Systems
Cloud computing has indisputably emerged as the primary computing and storage platform for various contemporary workloads. These workloads, spanning from IoT to big data analytics and processing tasks, generat...
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Chapter and Conference Paper
General Adversarial Networks: A Tool to Detect the Novel Coronavirus from CT Scans
Detection of the novel Corona virus in the early stages is crucial, since no known vaccines exist. Artificial Intelligence- aided prognosis using CT scans can be used as an effective method to identify symptom...
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Chapter and Conference Paper
Marathi Handwritten Character Recognition Using SVM and KNN Classifier
Marathi handwritten character recognition is the most challenging task in Optical Character Recognition (OCR) research domain. The need for OCR to convert Marathi handwritten documents or scripts to editable t...
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Chapter and Conference Paper
Grammar Rule-Based Sentiment Categorization Model for Tamil Tweets
The widespread of social media is growing every day where users are sharing their opinions, reviews, and comments on an item or product. The aim is to develop a model to mine user tweets collected from Twitter...
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Chapter and Conference Paper
Ensemble Approach for Cross Language Information Retrieval
Cross language information retrieval (CLIR) is a sub field of information retrieval (IR) which deals with retrieval of content from one language (source language) for a search query expressed in another langua...
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Chapter and Conference Paper
Critical Aware Community Based Parallel Service Composition Model for Pervasive Computing Environment
Service composition in pervasive computing environments is needed to provide best quality of service. Services need to be discovered at run time and composed together for best possible user scenarios. The need...
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Article
Effects of deposition and annealing conditions on the structure and electrical properties of LPCVD silicon thin films
Deposition temperature and annealing conditions have pronounced effects on the structure and electrical properties of LPCVD silicon thin films. Films grown at 580°C are amorphous whereas those grown at 620°C a...
