Remote Sensing: A Comprehensive Overview of Principles and Applications

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 101 - 105

Published: Dec. 1, 2023

Remote sensing technology has been a crucial tool for gathering information about the Earth's surface and atmosphere many years, with applications spanning several fields such as agriculture, forestry, coastal zone management, environmental monitoring. This article presents comprehensive overview of remote principles their uses in various industries. The fundamental concepts sensing, including electromagnetic radiation, sensors, platforms used data collection, image processing techniques, are discussed. Moreover, different types data, multispectral, hyperspectral, SAR explored along across Lastly, challenges possibilities examined, future prospects

Language: Английский

---

Prediction of Concrete Strength with Artificial Neural Networks Enhanced by Nano-Silica

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 959 - 963

Published: Dec. 1, 2023

The investigation is centered to create a methodology utilizing an artificial neural network (ANN) forecast concrete's crushing resistance at the 28-day mark incorporating nanosilica offering as alternative traditional cement. Nanosilica commonly used construction material known for its ability enhance strength of concrete. Nevertheless, accurately predicting this requires intricate computations, consumes time, and demands expertise. To address this, AI model was created using machine learning algorithms, trained on dataset comprising experimental compressive data nanosilica-concrete mixtures, along with additional information particle properties. model's efficacy assessed independent dataset, which demonstrated nanosilica's high precision. objective research use ANN technique establish link between various input factors resultant in nanosilica-containing utilized study sourced from existing literature.

Language: Английский

---

Stock Market Prediction using different Machine Learning Algorithms

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 147 - 151

Published: Dec. 1, 2023

Stock market prediction is a difficult yet crucial task that has piqued the interest of both academics and investors. Due to their capacity process analyze huge chunk data in real-time, algorithms based on machine learning have become an effective tool for predicting stock values. We explore usage different approaches this research, including decision trees, random forests, support vector machines, neural networks, deep techniques. cover benefits drawbacks each algorithm, as well its applicability various sorts roots such finance/business records, news articles, social media. additionally look at difficulties come with using prediction, overfitting, quality, comprehensibility. Lastly, we describe some recent research employed anticipate equity markets, assess effectiveness practical utility. Overall, study gives thorough review state art algorithms, identifying significant obstacles potential interesting area.

Language: Английский

---

Lung Cancer Diagnosis Using Artificial Neural Network with Different Optimizers

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 1287 - 1291

Published: Dec. 1, 2023

Lung cancer is the foremost global health concern crossways world and various people die due to this disease because symptoms are visible at last stages of cancer. Detection timely accurately plays a vital role for taking action improve patient's health, if it not detected in early stages, chance survival rate very less. To overcome problem, now days, use Artificial Intelligence (AI) helps diagnosis lung stage. In work, we trained deployed Feed Forward Neural Network (FF-ANN) tuned with optimizers diagnose Various parameters used ANN algorithm using evaluated on cancers datasets. Accuracy proposed model best Adam optimizer comes out be 97.6%.

Language: Английский

---

Greening Wireless Sensor Networks: A Unique Chain-Based Clustering Approach for Communication

2018 5th IEEE Uttar Pradesh Section International Conference on Electrical, Electronics and Computer Engineering (UPCON), Journal Year: 2023, Volume and Issue: unknown, P. 442 - 445

Published: Dec. 1, 2023

In recent decades, there has been a notable emphasis on wireless sensor network data collecting due to the growing demand of data-gathering through WSNs as result Internet Things (IoT) popularity. However, attaining best possible performance is severely hampered by resource constraints devices. This study presents solution this problem proposing Greening Wireless Sensor Networks, which considers two different energy levels (normal and advanced) nodes. this, count advanced nodes calculated rationally distributed appropriately. Normal nodes, other hand, are haphazardly placed next Advanced forward base station (BS) using chain-based transmission. proposed methodology helps save significant amount result. A variety criteria considered assess network's performance, protocol can outperform popular routing protocols.

Language: Английский

---

Identification of Best Laptop Using Hybrid Modified MADM Approach

Algorithms for intelligent systems, Journal Year: 2024, Volume and Issue: unknown, P. 177 - 190

Published: Jan. 1, 2024

Language: Английский

---

Big Data in Healthcare: Leveraging Analytics to Revolutionize Patient Care and Health Management

Published: Sept. 18, 2024

Language: Английский

---

An Improved Particle Swarm Approach for Energy-Aware Location-Aided Routing in Mobile Ad-Hoc Network

Published: Sept. 18, 2024

Language: Английский

---

Hybrid Machine Learning Models: Combining Strengths of Supervised and Unsupervised Learning Approaches

Published: Sept. 18, 2024

Language: Английский

---

Enhancing Blockchain Scalability: Innovative Solutions for Optimized Performance in Decentralized Networks

Published: Sept. 18, 2024

Language: Английский

---