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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
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
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
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 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 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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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...