Grey Wolf Optimization Based CNN-LSTM Network for the Prediction of Energy Consumption in Smart Home Environment
In smart homes, the management of energy is gaining huge significance among researchers
in recent times. This paper presents a system for predicting power utilization and scheduling …
in recent times. This paper presents a system for predicting power utilization and scheduling …
Recurrent neural network based model development for wheat yield forecasting
In the study carried out in line with the stated purposes, monthly rain, humidity and
temperature data, wheat production amount, and wheat productivity data of Konya province …
temperature data, wheat production amount, and wheat productivity data of Konya province …
CellSegUNet: an improved deep segmentation model for the cell segmentation based on UNet++ and residual UNet models
S Metlek - Neural Computing and Applications, 2024 - Springer
Cell nucleus segmentation is an important method that is widely used in the diagnosis and
treatment of many diseases, as well as counting and identifying the cell nucleus. The main …
treatment of many diseases, as well as counting and identifying the cell nucleus. The main …
An energy consumption prediction approach in smart cities by CNN-LSTM network improved with game theory and Namib Beetle Optimization (NBO) algorithm
M Chahardoli, N Osati Eraghi, S Nazari - The Journal of Supercomputing, 2025 - Springer
One of the challenges of the Internet of Things and smart cities is energy consumption and
energy theft. An accurate approach to predicting energy consumption and detecting energy …
energy theft. An accurate approach to predicting energy consumption and detecting energy …
[PDF][PDF] Multi-Label Text Analysis with GRU and CNN Based Hybrid Deep Learning Model
H Çetiner - 2022 - easychair.org
Twitter, Facebook, Instagram, WhatsApp ve Wikipedia gibi sosyal ağlarda paylaşılan yazılı
paylaşımlar her geçen gün artmaktadır. Sosyal ağlarda veri içerikleri herhangi bir kontrol …
paylaşımlar her geçen gün artmaktadır. Sosyal ağlarda veri içerikleri herhangi bir kontrol …
Recurrent Neural Network Based Model Development for Energy Consumption Forecasting
H Çetiner - Bitlis Eren Üniversitesi Fen Bilimleri Dergisi, 2022 - dergipark.org.tr
The world population is increasing day by day. As a result, limited resources are decreasing
day by day. On the other hand, the amount of energy needed is constantly increasing. In this …
day by day. On the other hand, the amount of energy needed is constantly increasing. In this …
Hybrid Deep Learning Implementation for Crop Yield Prediction
H Çetiner - Afyon Kocatepe Üniversitesi Fen Ve Mühendislik …, 2023 - dergipark.org.tr
Agriculture producers should be supported technologically in order to continue production in
a way that meets the worldwide food supply and demand. Automatic realization of crop yield …
a way that meets the worldwide food supply and demand. Automatic realization of crop yield …