Results 61 to 70 of about 22,343 (153)
Machine Vision–Based Insect Recognition in Agriculture: A Comprehensive Review
This study explores machine vision for automated insect recognition in agriculture, leveraging deep learning and IoT integration. The review highlights real‐time pest detection methods, enhancing crop protection with minimal pesticide use. Comparative analysis of classifiers provides insights into performance and future advancements in sustainable ...
Mohammad Monirul Islam +4 more
wiley +1 more source
3D As‐Built Environments in Extended Reality Applications: A Systematic Review
This systematic review identifies BIM and game engines as the primary tools for integrating 3D as‐built environments into XR. While multi‐sensor fusion and multimodal interaction enhance immersion, persistent challenges like manual modeling and bandwidth limitations continue to hinder full ecosystem maturation.
Jesús Balado +4 more
wiley +1 more source
Improvement of Text Dependent Speaker Identification System Using Neuro-Genetic Hybrid Algorithm in Office Environmental Conditions [PDF]
In this paper, an improved strategy for automated text dependent speaker identification system has been proposed in noisy environment. The identification process incorporates the Neuro-Genetic hybrid algorithm with cepstral based features.
Islam, Md. Rabiul, Rahman, Md. Fayzur
core +1 more source
This work presents a deep learning model to autonomously recognize and classify the secretion retention into three levels for patients receiving invasive mechanical ventilation, achieving 89.08% accuracy. This model can be implemented to ventilators by edge computing, whose feasibility is approved.
Shuai Wang +6 more
wiley +1 more source
The underground production environment in coal mines is harsh, and key equipment such as gas pumps, ventilators, and coal shearers often operate continuously, making them susceptible to faults.
QIU Ji'er, WANG Qi, WANG Peng
doaj +1 more source
Review of Memristors for In‐Memory Computing and Spiking Neural Networks
Memristors uniquely enable energy‐efficient, brain‐inspired computing by acting as both memory and synaptic elements. This review highlights their physical mechanisms, integration in crossbar arrays, and role in spiking neural networks. Key challenges, including variability, relaxation, and stochastic switching, are discussed, alongside emerging ...
Mostafa Shooshtari +2 more
wiley +1 more source
Dilated-Convolutional Recurent Neural Network untuk Klasifikasi Genre Musik
Dalam era digital, pemanfaatan teknologi untuk mengelompokkan genre musik secara otomatis menjadi sangat penting, terutama untuk aplikasi seperti rekomendasi musik, analisis tren musik, dan pengelolaan perpustakaan musik digital.
Mochammad Rizqul Fatichin +3 more
doaj +1 more source
ABSTRACT Parental stress influences parent–child interactions in typical development and is a prognostic factor of autism outcome. However, we still do not know to what extent parental stress affects parent–child interactions and whether caregiver role matters.
Maria Grazia Logrieco +11 more
wiley +1 more source
CNN‐Based Accent Similarity Detection Using Masked Spectrogram Reconstruction
Convolutional Neural Network Masked Spectrogram Reconstruction model to enhance accent recognition and similarity assessment in automatic speech recognition. Addressing challenges in recognizing non‐native English accents, the method utilizes randomly masked spectrogram inputs to extract accent‐specific features.
Amina Salifu +8 more
wiley +1 more source
ABSTRACT Objective Eating disorder (ED) history may impact mother‐child communication during mealtimes and contribute to transgenerational transmission of ED. This study employed machine learning (ML) to identify speech characteristics during mother‐child feeding interactions, aiming for investigating whether vocalised affective characteristics differ ...
Jana Katharina Throm +7 more
wiley +1 more source

