Samudrapom Dam

Bachelor of Technology: Electronics and Communication Engineering Maulana Abul Kalam Azad University of Technology

Material Science, Advanced Technologies, Metals, Clean Technologies

Samudrapom Dam is a freelance scientific and business writer based in Kolkata, India. He has been writing articles related to business and scientific topics for more than one and a half years. He has extensive experience in writing about advanced technologies, information technology, machinery, metals and metal products, clean technologies, finance and banking, automotive, household products, and the aerospace industry. He is passionate about the latest developments in advanced technologies, the ways these developments can be implemented in a real-world situation, and how these developments can positively impact common people.

Samudrapom also writes about the significance of different technologies for modern businesses, such as how the implementation of technology can improve a business process or streamline the entire business operation of an enterprise. He completed his Bachelor of Technology in Electronics and Communication Engineering in 2018 from Maulana Abul Kalam Azad University of Technology (MAKAUT). He is an avid reader and enjoys playing chess.

Articles from Samudrapom

The Role of Edge Computing in IoT Performance

Edge computing has emerged as a crucial solution to address the limitations of cloud computing in supporting context-aware and delay-sensitive services in the Internet of Things (IoT) era. This article explores the significance of edge computing in improving overall IoT performance, discussing its advantages, architectures, challenges, and future directions.

7 May 2024

Industrial IoT: Transforming Manufacturing Processes

Industrial IoT (IIoT) is reshaping manufacturing by enabling real-time monitoring, predictive maintenance, and efficient asset management. IIoT leverages technologies like big data analytics, cloud computing, and AI to optimize production processes and reduce operational costs. Recent advancements in edge AI and federated learning are addressing key challenges in personalization, responsiveness, and privacy preservation, paving the way for further innovation in IIoT applications.

29 Apr 2024

Deep Reinforcement Learning: Applications and Future Directions

Deep reinforcement learning (DRL) merges decision-making prowess from reinforcement learning with deep learning's feature representation, revolutionizing diverse domains. This article elucidates DRL's applications in economics, stock trading, computer vision, and production systems. It discusses cutting-edge methodologies like deep deterministic policy gradient (DDPG) and deep Q-networks (DQN) in stock trading and actor-critic methods in computer vision.

23 Apr 2024

Carrot Quality Assessment Using Hyperspectral Imaging and Multivariate Analysis

Through hyperspectral imaging (HSI) and multivariate analysis, researchers accurately predicted pH and carotenoid content in carrots, crucial for nutritional assessment. Models utilizing partial least squares regression (PLSR) and least squares support vector machine (LS-SVM) showed LS-SVM's superiority in pH prediction and carotenoid content, offering a promising approach for internal quality evaluation in carrots.

22 Apr 2024

IoT in Healthcare: Improving Patient Monitoring and Care

The integration of IoT and machine learning (ML) is transforming healthcare by enabling remote patient monitoring, personalized medicine, and enhanced care delivery. This article explores how IoT drives extensive automation in healthcare, facilitating personalized health management and remote monitoring for chronic diseases.

16 Apr 2024

Quantum Deep Learning: Unlocking New Frontiers

In the realm of artificial intelligence, quantum deep learning emerges as a revolutionary fusion of quantum computing and deep learning methodologies. This convergence heralds groundbreaking advancements, from quantum-inspired neural networks to hybrid CNN architectures, propelling machine learning into uncharted territories of efficiency and capability. Despite its nascent stage, quantum deep learning holds immense promise, heralding a new era of computational prowess and algorithmic innovation.

8 Apr 2024

Enhanced Vision SLAM for Wheeled Robots

Researchers unveil IMS-VSLAM, an advanced algorithm blending visual and inertial sensors to bolster wheeled robot navigation in low-texture environments. With superior accuracy and real-time performance, it marks a significant leap in robotic autonomy and efficiency.

7 Apr 2024

High-Accuracy Brain Tumor Detection through Deep Transfer Learning

Recent research in Scientific Reports evaluated the effectiveness of deep transfer learning architectures for brain tumor detection, utilizing MRI scans. The study found that models like ResNet152 and MobileNetV3 achieved exceptional accuracy, demonstrating the potential of transfer learning in enhancing brain tumor diagnosis.

5 Apr 2024

Enhancing English Composition Evaluation with Deep Learning

Researchers present the DLIECG method, integrating deep learning for English composition grading in higher vocational colleges, overcoming challenges of subjectivity and time constraints. This innovative approach enhances grading accuracy and efficiency, promising more reliable assessments of student writing.

4 Apr 2024

Digital Twins in Industry: Theory, Technology, and Challenges

This study provides an in-depth exploration of the advancements, challenges, and future prospects of digital twins in various industrial applications. It covers the theoretical frameworks, technological implementations, and practical considerations essential for understanding and leveraging digital twins effectively across different sectors.

3 Apr 2024