Results 21 to 30 of about 104,305 (311)
VLDNet: An Ultra-Lightweight Crop Disease Identification Network
Agriculture, 2023 Existing deep learning methods usually adopt deeper and wider network structures to achieve better performance. However, we found that this rule does not apply well to crop disease identification tasks, which inspired us to rethink the design paradigm of
Xiaopeng Li +3 more
doaj +1 more source
Lightweight Semantic Prototyper for Conceptual Modeling [PDF]
, 2014 While much research work was devoted to conceptual model quality validation techniques, most of the existing tools in this domain focus on syntactic quality. Tool support for checking semantic quality (correspondence between the conceptual model and requirements of a domain to be engineered) is largely lacking.
Sedrakyan, Gayane, Snoeck, Monique
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A Lightweight Recognition Method for Rice Growth Period Based on Improved YOLOv5s
Sensors, 2023 The identification of the growth and development period of rice is of great significance to achieve high-yield and high-quality rice. However, the acquisition of rice growth period information mainly relies on manual observation, which has problems such ...
Kaixuan Liu +5 more
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EffShuffNet: An Efficient Neural Architecture for Adopting a Multi-Model
Applied Sciences, 2023 This work discusses the challenges of multi-label image classification and presents a novel Efficient Shuffle Net (EffShuffNet) based on a convolutional neural network (CNN) architecture to address these challenges.
Jong-In Kim +7 more
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A Lightweight Recurrent Network for Sequence Modeling [PDF]
Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, 2019 Recurrent networks have achieved great success on various sequential tasks with the assistance of complex recurrent units, but suffer from severe computational inefficiency due to weak parallelization. One direction to alleviate this issue is to shift heavy computations outside the recurrence.
Zhang, Biao, Sennrich, Rico
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Efficient real-time detection of electrical equipment images using a lightweight detector model
Frontiers in Energy Research, 2023 Infrared technology holds significant importance in the detection of electrical equipment, as it has the capability to swiftly and securely identify electrical apparatus.
Chaoliang Qi +9 more
doaj +1 more source
GA-YOLO: A Lightweight YOLO Model for Dense and Occluded Grape Target Detection
Horticulturae, 2023 Picking robots have become an important development direction of smart agriculture, and the position detection of fruit is the key to realizing robot picking.
Jiqing Chen +6 more
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Dual-granularity lightweight model for vulnerability code slicing method assessment [PDF]
, 2021 Aiming at the problems existing in the assessment of existing vulnerability code slicing method, such as incomplete extraction of slicing information, high model complexity and poor generalization ability, and no feedback in the evaluation process, a ...
Jiadong REN +4 more
core +1 more source
Lightweight Landslide Detection Network for Emergency Scenarios
Remote Sensing, 2023 Landslides are geological disasters that can cause serious severe damage to properties and lead to the loss of human lives. The application of deep learning technology to optical remote sensing images can help in the detection of landslide areas ...
Xuming Ge, Qian Zhao, Bin Wang, Min Chen
doaj +1 more source
Sensors, 2023 During steel production, various defects often appear on the surface of the steel, such as cracks, pores, scars, and inclusions. These defects may seriously decrease steel quality or performance, so how to timely and accurately detect defects has great ...
Ji Wang +3 more
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