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Article
Enhancing thyroid disease prediction with improved XGBoost model and bias management techniques
The thyroid gland, a pivotal regulator of essential physiological functions, orchestrates the production and release of thyroid hormones, playing a vital role in metabolism, growth, development, and overall bo...
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Article
An adaptive mobility-aware secure handover and scheduling protocol for Earth Observation (EO) communication using fog computing
In the domain of Earth Observation (EO) communication, the existing cloud system faces significant challenges, including latency in data transmission, insufficient bandwidth, and concerns over data security an...
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Article
Open AccessAuthor Correction: Hybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
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Article
FdAI: Demand Forecast Model for Medical Tourism in India
Forecasting is involved in the estimation of statements about particular events concerned those are uncertain events or computation of future. The ultimate purpose ofthe forecasting model is to acquire knowled...
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Article
A dynamic and optimized routing approach for VANET communication in smart cities to secure intelligent transportation system via a chaotic multi-verse optimization algorithm
VANET technology is an essential component of Intelligent Transportation Systems, which makes c communication between moving cars and stationary Road Side Units more accessible. It allows vehicle nodes to shar...
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Article
Secure WSN Architecture Utilizing Hybrid Encryption with DKM to Ensure Consistent IoV Communication
Reliable communication is essential in the Internet of Vehicles (IoV) framework, where the efficient transmission of important information is required to ensure vehicle safety and smart traffic control. This i...
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Article
A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment
Waste collection, classification, and planning have become crucial as industrialization and smart city advancement activities have increased. A recycling process of waste relies on the ability to retrieve the ...
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Article
Open AccessPrevalence and risk factors analysis of postpartum depression at early stage using hybrid deep learning model
Postpartum Depression Disorder (PPDD) is a prevalent mental health condition and results in severe depression and suicide attempts in the social community. Prompt actions are crucial in tackling PPDD, which re...
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Article
A hybrid LBP-CNN with YOLO-v5-based fire and smoke detection model in various environmental conditions for environmental sustainability in smart city
Smart, secure, and environmentally friendly smart cities are all the rage in urban planning. Several technologies, including the Internet of Things (IoT) and edge computing, are used to develop smart cities. E...
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Article
Unveiling the prevalence and risk factors of early stage postpartum depression: a hybrid deep learning approach
A major psychological problem that numerous new mothers experience is postpartum depression (PPD). A woman's capacity to care for herself and her child may be hampered by the sadness, anxiety, and weariness it...
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Article
Open AccessCorrection: Extremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
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Article
Open AccessCorrection to: Next-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
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Article
Open AccessNext-generation cyber attack prediction for IoT systems: leveraging multi-class SVM and optimized CHAID decision tree
Billions of gadgets are already online, making the IoT an essential aspect of daily life. However, the interconnected nature of IoT devices also leaves them open to cyber threats. The quantity and sophisticati...
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Article
Open AccessHybrid CNN-LSTM model with efficient hyperparameter tuning for prediction of Parkinson’s disease
The patients’ vocal Parkinson’s disease (PD) changes could be identified early on, allowing for management before physically incapacitating symptoms appear. In this work, static as well as dynamic speech chara...
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Article
Open AccessHybrid model for precise hepatitis-C classification using improved random forest and SVM method
Hepatitis C Virus (HCV) is a viral infection that causes liver inflammation. Annually, approximately 3.4 million cases of HCV are reported worldwide. A diagnosis of HCV in earlier stages helps to save lives. I...
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Article
Open AccessExtremely boosted neural network for more accurate multi-stage Cyber attack prediction in cloud computing environment
There is an increase in cyberattacks directed at the network behind firewalls. An all-inclusive approach is proposed in this assessment to deal with the problem of identifying new, complicated threats and the ...
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Article
Open AccessBootstrap** random forest and CHAID for prediction of white spot disease among shrimp farmers
Technology is playing an important role is healthcare particularly as it relates to disease prevention and detection. This is evident in the COVID-19 era as different technologies were deployed to test, detect...
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Article
Open AccessDesign of Intrusion Detection System based on Cyborg intelligence for security of Cloud Network Traffic of Smart Cities
The Internet of things (IoT) is an important technology that is highly beneficial in establishing smart items, connections and cities. However, there are worries regarding security and privacy vulnerabilities ...
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Article
An adaptive traffic routing approach toward load balancing and congestion control in Cloud–MANET ad hoc networks
It would not be an overstatement to say that Cloud services have exponentially increased the computing power of mobile devices, enabling operators to undertake complex procedures including research, data minin...
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Chapter and Conference Paper
Software Process Improvement Assessment for Cloud Application Based on Fuzzy Analytical Hierarchy Process Method
The miracles of ordinary programming development face exceptional difficulties which relate to Software process development. Main objective of this method is to make the prioritization-based intelligent plan f...
