Comprehensive review for energy efficient hierarchical routing protocols on wireless sensor networks
In recent years, wireless sensor networks (WSNs) have played a major role in applications
such as tracking and monitoring in remote environments. Designing energy efficient …
such as tracking and monitoring in remote environments. Designing energy efficient …
Multivariate data decomposition based deep learning approach to forecast one-day ahead significant wave height for ocean energy generation
Significant wave height is an average of the largest ocean waves, which are important for
renewable and sustainable energy resource generation. A large significant wave height can …
renewable and sustainable energy resource generation. A large significant wave height can …
Designing a multi-stage multivariate empirical mode decomposition coupled with ant colony optimization and random forest model to forecast monthly solar radiation
Solar energy is an alternative renewable energy resource that has the potential of cleanly
addressing the increasing demand for electricity in the modern era to overcome future …
addressing the increasing demand for electricity in the modern era to overcome future …
Improving SPI-derived drought forecasts incorporating synoptic-scale climate indices in multi-phase multivariate empirical mode decomposition model hybridized with …
New and improved drought models based on the World Meteorological Organization
approved Standardized Precipitation Index, principally at multiple timescale horizons, are …
approved Standardized Precipitation Index, principally at multiple timescale horizons, are …
Ant colony optimization based enhanced dynamic source routing algorithm for mobile Ad-hoc network
S Chatterjee, S Das - Information sciences, 2015 - Elsevier
Due to the dynamic nature of the Mobile Ad-hoc Network (MANET), routing in MANET
becomes challenging especially when certain QoS requirements (like high data packet …
becomes challenging especially when certain QoS requirements (like high data packet …
Coupled online sequential extreme learning machine model with ant colony optimization algorithm for wheat yield prediction
Inadequate agricultural planning compounded by inaccurate predictions results in an
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
inflated local market rate and prompts higher importation of wheat. To tackle this problem …
Design data decomposition-based reference evapotranspiration forecasting model: a soft feature filter based deep learning driven approach
Reference evapotranspiration can cause huge discrepancies in soil moisture and runoff
which is responsible for uncertainties in drought warning systems. Reference …
which is responsible for uncertainties in drought warning systems. Reference …
A newly developed integrative bio-inspired artificial intelligence model for wind speed prediction
Accurate wind speed (WS) modelling is crucial for optimal utilization of wind energy.
Numerical Weather Prediction (NWP) techniques, generally used for WS modelling are not …
Numerical Weather Prediction (NWP) techniques, generally used for WS modelling are not …
[HTML][HTML] Development of an enhanced bidirectional recurrent neural network combined with time-varying filter-based empirical mode decomposition to forecast weekly …
Evapotranspiration is one of agricultural water management's most significant and impactful
hydrologic processes. A new multi-decomposition deep learning-based technique is …
hydrologic processes. A new multi-decomposition deep learning-based technique is …
Meta-heuristic ant colony optimization based unequal clustering for wireless sensor network
Sensor nodes are randomly deployed to perform specific area monitoring in geographical
region and temporal space. The network connectivity maintenance is a major requirement …
region and temporal space. The network connectivity maintenance is a major requirement …