Low-Power Deep Learning Model for Plant Disease Detection for Smart-Hydroponics Using Knowledge Distillation Techniques

Review Chemistry, Analytical

Energy-Aware System Design for Autonomous Wireless Sensor Nodes: A Comprehensive Review

Olfa Kanoun et al.

Summary: This paper explores the significance of wireless sensor networks in various sectors and discusses key technologies for implementing battery-free and energy-aware WSNs. Research shows that comprehensive system design, along with energy management and energy-saving strategies, are crucial for achieving stable and sustainable solutions.

SENSORS (2021)

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Article Computer Science, Artificial Intelligence

Automatic COVID-19 detection from X-ray images using ensemble learning with convolutional neural network

Amit Kumar Das et al.

Summary: This study introduces a solution based on deep convolutional neural networks to detect COVID-19 positive patients using chest X-ray images. Multiple CNN models are utilized and combined through a weighted average ensembling technique for prediction.

PATTERN ANALYSIS AND APPLICATIONS (2021)

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Article Engineering, Electrical & Electronic

Low-Power FPGA Architecture Based Monitoring Applications in Precision Agriculture

Amine Saddik et al.

Summary: This study focuses on vegetation monitoring algorithms in precision agriculture, utilizing a system based on a CPU-FPGA SoC system and the OpenCL parallel programming paradigm. Performance evaluation demonstrated significant improvement, with the system able to process up to 107 fps and meet real-time constraints.

JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS (2021)

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Article Engineering, Electrical & Electronic

Cost-Effective and Low Power IoT-Based Paper Supply Monitoring System: An Application Modeling Approach

S. D. Arunya P. Senadeera et al.

Summary: IoT designers face challenges in achieving good performance and user satisfaction while managing constraints on computing and power resources. The new IoT device introduced in this paper for paper roll supply management in bathrooms and kitchens is cost effective, battery power-efficient, and utilizes existing Wi-Fi infrastructure, providing efficient paper supply management with only once every 3-4 months battery charging required.

JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS (2021)

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Article Engineering, Electrical & Electronic

Implementation of Multi-Exit Neural-Network Inferences for an Image-Based Sensing System with Energy Harvesting

Yuyang Li et al.

Summary: This paper introduces a multi-exit convolutional neural network implemented on the ESP32-CAM embedded platform, which is able to sustain operation by saving energy and sacrificing only a small amount of accuracy.

JOURNAL OF LOW POWER ELECTRONICS AND APPLICATIONS (2021)

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Article Plant Sciences