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.

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Articles from Samudrapom

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

Decoding AI's Emotional Intelligence

A groundbreaking study in Scientific Reports delves into the emotional responses of AI chatbots, revealing their capacity to mimic human-like behavior in prosocial and risk-related decision-making. ChatGPT-4 emerges as a frontrunner, showcasing heightened sensitivity to emotional cues compared to its predecessors, marking a significant stride in AI's emotional intelligence journey.

2 Apr 2024

Federated Learning: Privacy-Preserving Machine Learning

This article explores federated learning, a decentralized approach introduced by Google in 2016, which allows multiple devices to collaborate on machine learning tasks without sharing sensitive data. It discusses the need for federated learning in addressing data governance issues like those mandated by the GDPR, its applications across various domains including healthcare and smart homes, and the challenges associated with its implementation.

1 Apr 2024

Hybrid Detection Algorithms Enhance 5G Healthcare Latency

This study introduces innovative hybrid detection algorithms aimed at reducing latency in 5G/B5G communication for smart healthcare in rural regions. By combining QR decomposition with advanced detection techniques, such as QRM-MLD-MMSE and QRM-MLD-ZF, the study achieves significant improvements in latency, throughput, and bit error rate (BER) performance, demonstrating the feasibility of enhancing smart healthcare connectivity in underserved areas

1 Apr 2024