Results 201 to 210 of about 2,093,106 (315)
An Attention‐Assisted Machine Learning System for Deep Microorganism Image Classification
An attention‐assisted DenseNet201 framework was developed for the classification of eight microorganism classes from microscopic images. The proposed model improved classification performance and achieved an accuracy of 87.38%. Advances in microbiology and environmental health fundamentally depend on precise and timely microorganism identification ...
Yujie Li +6 more
wiley +1 more source
Distribution of Ugandan Passiflora Virus (<i>Potyvirus passiflorafricanse</i>) in Major Passion Fruit Growing Areas in Rwanda. [PDF]
Munganyinka E +6 more
europepmc +1 more source
In this article, we develop bespoke resins for stereolithography 3D‐printing of soft‐robotic grippers that are controlled remotely by electrothermal stimulus near ambient temperatures. Turning on the electrical control, each finger can be actuated separately.
Kalyan Ghosh +4 more
wiley +1 more source
Comparative Evaluation of Allometric, Machine Learning, and Ensemble Approaches for Modeling Dynamic Structure-Fresh Weight Relationships in Sweet Pepper. [PDF]
Kang JH, Moon T.
europepmc +1 more source
Artificial intelligence (AI) is reshaping autonomous mobile robot navigation beyond classical pipelines. This review analyzes how AI techniques are integrated into core navigation tasks, including path planning and control, localization and mapping, perception, and context‐aware decision‐making. Learning‐based, probabilistic, and soft‐computing methods
Giovanna Guaragnella +5 more
wiley +1 more source
Variations in Seed and Fruit Traits of the Rare and Endangered Chinese Plant <i>Lilium tsingtauense</i> Along Environmental Gradients. [PDF]
Lu W +8 more
europepmc +1 more source
Towards Advanced Intelligent and Perceptive Soft Grippers
Implementing soft yet strong and intelligent soft grippers request innovative and creative solutions in designing soft bodies and seamlessly integrating actuated systems with hierarchical sensing. This review systematically analyses soft grippers with a deep understanding of core components, from fundamental design principles to actuation and sensing ...
Haneul Kim +4 more
wiley +1 more source
Abstract Our general interest is in global trade loss from livestock pathogens, specifically exports. We adopt a causal inference approach that considers animal disease outbreaks over time as non‐staggered binary treatments with the potential for switching in (infection) and out of treatment (recovery) within the sample period. The outcome evolution of
Mohammad Maksudur Rahman +1 more
wiley +1 more source

