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

Learned Dynamic Phase Coding: Reconstructing Videos from Single-Motion Blurred Images

This article presents an innovative approach that utilizes learned dynamic phase coding for reconstructing videos from single-motion blurred images. By integrating a convolutional neural network (CNN) and a learnable imaging layer, the proposed method overcomes challenges associated with motion blur in dynamic scene photography.

24 Aug 2023

VALERIE22: Advancing Autonomous Driving with High-Performance Synthetic Data

Researchers introduce the VALERIE synthesis pipeline, presenting the VALERIE22 synthetic dataset. This dataset, created for understanding neural network perception in autonomous driving, features photorealistic scenes, rich metadata, and outperforms other synthetic datasets in cross-domain evaluations, marking a significant leap in open-domain synthetic data quality.

23 Aug 2023

Revolutionizing Drug Classification: TSIDL Enhances Patient Safety

Researchers have introduced a novel Two-Stage Induced Deep Learning (TSIDL) approach to accurately and efficiently classify similar drugs with diverse packaging. By leveraging pharmacist expertise and innovative CNN models, the method achieved exceptional classification accuracy and holds promise for preventing medication errors and safeguarding patient well-being in real-time dispensing systems.

22 Aug 2023

Enhancing Audio-Visual Speech Recognition with Cross-Modal Fusion

Researchers introduce a novel approach to boost audio-visual speech recognition (AVSR) systems using cross-modal fusion and visual pre-training. By correlating lip movements to subword units and utilizing a guided neural network, this technique achieves improved AVSR performance without requiring additional complex training data, showcasing its efficacy on the MISP2021-AVSR dataset.

21 Aug 2023

Harnessing Machine Learning for Drought-Resistant Crops

Researchers explore the power of machine learning models to predict effective microbial strains for combatting drought's impact on crop production. By comparing various models, the study reveals that gradient boosted trees (GBTs) offer high accuracy, though considerations of computational resources and application needs are vital when choosing a model for real-world implementation.

21 Aug 2023

Empowering Renewable Energy with AI: Advancements and Applications

Artificial intelligence (AI) plays a pivotal role in the renewable energy sector, enabling efficient control, management, and maintenance of renewable energy systems (RES). With applications spanning solar, wind, hydro, and geothermal energy, AI techniques like artificial neural networks (ANN), support vector machines (SVM), and more are enhancing forecasting accuracy, optimizing energy production, and improving sustainability.

19 Aug 2023

AI Revolutionizing Industrial Automation: Enhancing Efficiency, Quality, and Flexibility

Artificial intelligence (AI), particularly machine learning (ML), is transforming industrial automation by enabling complex functions like predictive maintenance and manufacturing process automation. AI-driven machines enhance efficiency, production quality, and adaptability, contributing to a safer and more responsive manufacturing landscape.

19 Aug 2023

Top AI Algorithms for Sheep Weight Prediction: Revolutionizing Animal Husbandry

Researchers evaluated various machine learning algorithms to predict sheep body weights, highlighting the effectiveness of models like MARS, BRR, ridge regression, SVM, and gradient boosting for improving animal production decisions, ensuring economic growth and food security. Their study showcases the potential of AI in transforming animal husbandry practices.

17 Aug 2023

AI Revolutionizing Fraud Detection: Unveiling Hidden Patterns

Artificial intelligence's pivotal role in fraud detection is explored, with insights into techniques like adaptive analytics, behavioral analytics, and recent developments like deep boosting decision trees. Challenges and solutions in this field are also discussed, showcasing AI's transformative potential in combating fraud.

14 Aug 2023

Harnessing AI for Environmental Monitoring: A Transformative Approach

The article delves into the pivotal role of artificial intelligence (AI) in environmental monitoring, emphasizing its applications in assessing water and air quality. It highlights the benefits and challenges of AI implementation in this domain and cites recent developments, including AI-assisted semantic IoT systems, showcasing their potential to revolutionize environmental monitoring.

14 Aug 2023