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Precision Agriculture: Automated Grading and Sorting of Carrots Using Computer Vision

A groundbreaking study presents a framework that leverages computer vision and artificial intelligence to automate the inspection process in the food industry, specifically for grading and sorting carrots. By incorporating RGB and depth information from a depth sensor, the system accurately identifies the geometric properties of carrots in real-time, revolutionizing traditional grading methods.

12 Jul 2023

Revolutionizing Artificial Neural Networks: Self-Powered In-Sensor ANNs with Molecular Ferroelectric Photomemristors

Researchers have achieved a breakthrough in the development of artificial neural networks (ANNs) by implementing self-powered in-sensor ANNs using molecular ferroelectric (MF)-based photomemristor arrays. These innovative devices enable real-time optical signal recognition and acquisition while minimizing power consumption.

12 Jul 2023

Smart Seas: Revolutionizing Aquaculture with AIoT and Digital Twin-Based Intelligent Fish Farming

The integration of AIoT and digital twin technology in aquaculture holds the key to revolutionizing fish farming. By combining real-time data collection, cloud computing, and AI functionalities, intelligent fish farming systems enable remote monitoring, precise fish health assessment, optimized feeding strategies, and enhanced productivity. This integration presents significant implications for the industry, paving the way for sustainable practices and improved food security.

11 Jul 2023

Sky High Insights: Estimating Building Heights with DLIPHE Algorithm and Google Street View

Researchers propose DLIPHE, a novel algorithm that combines deep learning and image processing, to estimate building heights using static Google Street View images. The algorithm employs semantic segmentation and advanced techniques to identify buildings and extract their contours, enabling real-time and automatic height estimation for aerial devices. The study demonstrates promising results, highlighting the potential for DLIPHE to enhance communication paths for unmanned aerial vehicles (UAVs) and electric vertical take-off and landing aircraft (eVTOLs) in future urban networks.

10 Jul 2023

Unlocking Secure Homes: Blockchain and Machine Learning Revolutionize Smart Home Networks

Researchers propose a groundbreaking solution in the form of a blockchain layer and an enhanced Dragonfly algorithm to fortify smart home networks. This innovative approach ensures reliable user authentication, safeguards data privacy, and optimizes communication while paving the way for further advancements such as 5G integration and edge computing, promising secure and efficient smart homes of the future.

9 Jul 2023

Unleashing the Power of Text Mining: Identifying AI Technologies for the Korean Semiconductor Industry

The study demonstrates the use of text mining to identify emerging ML/AI technologies in the Korean semiconductor industry, enabling SMEs to establish an R&D roadmap and enhance competitiveness. Deep neural networks and AI technology applications in semiconductor R&D and manufacturing processes were found to be crucial, with potential for improved reasoning, learning abilities, and process optimization.

6 Jul 2023

Safeguarding IoT: Intelligent Anomaly Detection with Federated Learning and Machine Learning

The study proposes a smart system for monitoring and detecting anomalies in IoT devices by leveraging federated learning and machine learning techniques. The system analyzes system call traces to detect intrusions, achieving high accuracy in classifying benign and malicious samples while ensuring data privacy. Future research directions include incorporating deep learning techniques, implementing multi-class classification, and adapting the system to handle the scale and complexity of IoT deployments.

6 Jul 2023

Advancing Emotional Speech Recognition Using Deep Learning

Researchers introduce a speech emotion recognition (SER) system that accurately predicts a speaker's emotional state using audio signals. By employing convolutional neural networks (CNN) and Mel-frequency cepstral coefficients (MFCC) for feature extraction, the proposed system outperforms existing approaches, showcasing its potential in various applications such as human-computer interaction and emotion-aware technologies.

5 Jul 2023

Revolutionizing Manufacturing: Harnessing AI and IoT for Smart Configurations

Manufacturing companies are embracing AI and IoT technologies to revolutionize their operations, achieve sustainability goals, and remain competitive. The implementation of smart configurations, such as digital twins, sensors, 5G networks, and advanced ML models, enables real-time monitoring, analysis, and optimization of production processes.

4 Jul 2023