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Cotton Plant Disease Detection Using Deep Learning
Most of the farmers cultivate cotton in large numbers but one of the biggest issues in recent decades has been the cotton leaf disease which affects... -
Comparison of Flyback with Buck-Boost Converter for Solar Applications
DC–DC converters are widely used as midrange converters to improve the desired power quality and lesser the harmonics at an optimum cost by producing... -
A Real-Time Fish Recognition Using Deep Learning Algorithms for Low-Quality Images on an Underwater Drone
The maritime industry employs various tools, including underwater drones, to search for and monitor marine life. The primary objective of this study... -
Harmonics Reduction Using ANN-Based Hybrid Active Filter for Power Quality Improvement
The rapid proliferation of power electronics-based nonlinear loads has made power quality a significant concern in a distribution network. Harmonic... -
A Comparative Analysis of Lung Cancer Prediction Using Machine Learning Techniques
Smoking is the primary cause of lung cancer in India, and men are more likely than women to smoke. Lung cancer is far more likely to occur in India,... -
Wireless Sensor Network in Reliable Transportation Theory Using Fuzzy Logic and Genetic Algorithm
In a wireless sensor network (WSN), reduced energy resources between nodes present a complicated challenge in terms of data collection, routing, and... -
Verwendung von maschinellem Lernen zur Vorhersage der Auswirkungen von nicht erneuerbaren Energiequellen auf den Klimawandel in Indien
Kapitel 5 versucht, Trends in der durchschnittlichen Landtemperatur aufgrund von CO2-Emissionen aus nicht erneuerbaren Energiequellen wie „Kohle“,... -
Anwendung von maschinellem Lernen zur Vorhersage der Klimawandelfolgen, die durch Investitionen der Banken in fossile Brennstoffsektoren hervorgerufen werden
Bis 2050 werden wahrscheinlich Millionen von Menschen von Dürre und Wasserknappheit betroffen sein, und bereits mehrere Großstädte der Welt werden... -
A Novel Intelligence System for Hybrid Crop Suitable Landform Prediction Using Machine Learning Techniques and IoT
In a bid to increase the agricultural need of yielding a healthy and profitable production, crop yield forecasting employing machine learning and the... -
Ear-Based Detection of Driver’s Drowsiness Using Visual Features
Road accidents due to drowsiness of the driver persist very often and cause significant fatal effect on highway safety. People are injured from light... -
An Advanced Comparative Study of Ransomware Anomaly Detection Techniques Through Optimized Hyperparameters
Ransomware attacks have emerged as a challenging threat in today's digital landscape, triggering worry among individuals or businesses and causing... -
Cybersecurity Threat Detection in SDN Clouds Using Attention Mechanism in RNN
The Cloud Computing (CC) has emerged as the most affordable method of providing big data and AI services to customers online in recent years. Many... -
Pneumonia Detection Using Deep Neural Networks Based on Chest X-ray Images
Pneumonia is a serious condition that infects one or both of an individual's lungs where air sacs, scientifically known as alveoli, get inflamed or... -
Corn Leaf Disease Identification via Transfer Learning: A Comprehensive Web-Based Solution
Effective crop disease prevention is essential to ensure global food security and early disease detection is a vital part of this protection.... -
Wheat Seed Classification Using Gurobi Optimized Piecewise Linear Approximation-Based SVM
Due to the variety of grains and labor-intensive manual sorting processes, the demand for automated grain classification is rising. Accurate grain... -
Enhancing Underwater Fauna Monitoring: A Comparative Study on YOLOv4 and YOLOv8 for Real-Time Fish Detection and Tracking
Supervision of marine ecosystems is paramount for understanding and conserving underwater biodiversity. Due to the latest advancements in the field... -
Performance Improvement of EBG-Based Patch Antenna for Tumor Detection
In this paper, EBG-based patch antenna is investigated to detect and visualize tumors in a human. Compact microstrip antenna is designed and... -
Arrhythmia Disease Detection Using Grey Wolf Optimized Deep Belief Network
Arrhythmia is a heart condition that results from irregular heart electrical activity. An electrocardiogram (ECG) is a tool medical professionals use... -
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Signal Processing for Evaluation of Capillary Blood Flow Regulation upon Exposure to Simulated Microgravity
In this study we demonstrate about the variation in capillary blood flow on very short exposure to simulated microgravity condition employing NASA’s...