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Assessment of Sediment Load Concentration Using SVM, SVM-FFA and PSR-SVM-FFA in Arid Watershed, India: A Case Study
Improvement in area of artificial intelligence for predicting different hydrological phenomenon has shaped an enormous alteration in predictions....
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Performance Investigation of SVM and Modified SVM Algorithms for Acute Health Diagnosis
Early diagnosis and accurate identification of acute diseases such as heart attacks are crucial for effective control and management. Automated...
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Assessment of Sediment Concentration Through RBNN and SVM-FFA in Arid Watershed, India
For scheduling, designing and management of hydraulic structure and hydrologic model prediction of sediment concentration play a crucial role in...
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GLUE uncertainty analysis of hybrid models for predicting hourly soil temperature and application wavelet coherence analysis for correlation with meteorological variables
Accurate prediction of soil temperature ( T s ) is critical for efficient soil, water and field crop management. In this study, hourly T s variations at...
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Prediction of shallow foundation settlement: usage of hybridized support vector regression model
Because of the intricacy of cohesion soil texture, settlement simulation in cohesion materials is a critical subject to address. According to the...
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Fish species classification using a collaborative technique of firefly algorithm and neural network
Monitoring various Fish Species and its distribution of the species obtains a primary significance in receiving the insights to marine...
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Cervical cancerous cell classification: opposition-based harmony search for deep feature selection
Over 500 K (per year) cervical cancer cases are reported with a high mortality rate (6–9%). Automatically detecting cervical cancer using the...
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Streamflow Forecasting Using Machine Learning Approach: A Case Study
The ability to anticipate monthly streamflow accurately is critical for proper planning and management of water resources. The capability of three...
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A novel network intrusion detection method based on metaheuristic optimisation algorithms
The growing use of the Internet with its vulnerabilities has necessitated the adoption of Intrusion Detection Systems (IDS) to assure security. IDSs...
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Solar Energy Forecasting Using Machine Learning and Deep Learning Techniques
Renewable energy sources are present copiously in the nature and are good for environmental conservation as they restore themselves and thus have...
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Energy Efficiency Routing Algorithms in IoT: A Survey
Internet of Things (IoT) is a new paradigm. IoT consists of a complex network of smart devices that frequently exchange data over the Internet. The...
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A Binary Firefly Algorithm Based Feature Selection Method on High Dimensional Intrusion Detection Data
Network intrusion detection system are significant features that contribute to the enterprises and organization network success. In the past decade,...
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Comparative Analysis of Gradient-Boosting Ensembles for Estimation of Compressive Strength of Quaternary Blend Concrete
Concrete compressive strength is usually determined 28 days after casting via crushing of samples. However, the design strength may not be achieved...
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Application of RBFN and FFA for Flood Prediction: A Case Study
Flood is one of the most chaotic natural disaster, caused due to many meteorological factors. Complex nature of flood and its response makes it a...
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A Feature Extraction Based Ensemble Data Clustering for Healthcare Applications
Multidimensional data sets are becoming more common in almost all research domains, and extracting insight from them necessitates complicated data...
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A Comprehensive Review of Machine Learning Algorithms and Its Application in Groundwater Quality Prediction
Groundwater is among the utmost essential renewable resources for every organism existing on Earth. Assessing water quality is critical for the...
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Advanced Soft Computing Techniques in Data Science, IoT and Cloud Computing
This book plays a significant role in improvising human life to a great extent. The new applications of soft computing can be regarded as an emerging...
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In-Hand Object Recognition for Sensorized Soft Hand
This paper presents an anthropomorphic soft robotic hand integrated with multiple flexible force and flex sensors in the fingers and palm. This...
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An Inclusive Survey on Marine Predators Algorithm: Variants and Applications
Marine Predators Algorithm (MPA) is the existing population-based meta-heuristic algorithms that falls under the category of Nature-Inspired...
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Modern Diagnostic Imaging Classifications and Risk Factors for 6G-enabled Smart Health Systems
AbstractThe creation of smart healthcare systems is a viable strategy to improve the quality and availability of healthcare services. Identity theft,...
