AIMC Topic: Algorithms

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Optimizing drone-based pollination method by using efficient target detection and path planning for complex durian orchards.

Scientific reports Jul 1, 2025
Durian is a valuable tropical fruit whose pollination heavily relies on bats and nocturnal insects. However, environmental degradation and pesticide usage have reduced insect populations, leading to inefficient natural pollination. This study propose...
Flowers Agriculture Algorithms Pollination Fruit Animals
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Adaptive neuro-fuzzy inference systems for improved mastitis classification and diagnosis.

Scientific reports Jul 1, 2025
For modeling dairy cattle data, fuzzy logic offers the capability to manage uncertainty, enhance accuracy, facilitate informed decision-making, and optimize resource allocation. A critical aspect of dairy cattle production is the modeling of mastitis...
Mastitis, Bovine Dairying Cattle Fuzzy Logic Female Algorithms Animals
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Mitigating data bias and ensuring reliable evaluation of AI models with shortcut hull learning.

Nature communications Jul 1, 2025
Shortcut learning poses a significant challenge to both the interpretability and robustness of artificial intelligence, arising from dataset biases that lead models to exploit unintended correlations, or shortcuts, which undermine performance evaluat...
Deep Learning Bias Artificial Intelligence Humans Algorithms Neural Networks, Computer Reproducibility of Results
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MS-EmoBoost: a novel strategy for enhancing self-supervised speech emotion representations.

Scientific reports Jul 1, 2025
Extracting richer emotional representations from raw speech is one of the key approaches to improving the accuracy of Speech Emotion Recognition (SER). In recent years, there has been a trend in utilizing self-supervised learning (SSL) for extracting...
Speech Emotions Speech Recognition Software Supervised Machine Learning Humans Algorithms
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A novel feature extractor based on constrained cross network for detecting sleep state.

Scientific reports Jul 1, 2025
With increasing awareness of healthy living and social pressure, more and more people have begun to pay attention to their sleep state. Most existing methods that utilize wrist-worn devices data for detection rely on heuristic algorithms or tradition...
Male Algorithms Humans Neural Networks, Computer Deep Learning Female Sleep Wearable Electronic Devices Machine Learning Adult
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DeepECG-Net: a hybrid transformer-based deep learning model for real-time ECG anomaly detection.

Scientific reports Jul 1, 2025
Real-time Electrocardiogram (ECG) anomaly detection is critical for accurate diagnosis and timely intervention in cardiac disorders. Existing models, such as CNNs and LSTMs, often struggle with long-range dependencies, generalization across multiple ...
Signal Processing, Computer-Assisted Deep Learning Electrocardiography Neural Networks, Computer Algorithms Humans
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A superpixel based self-attention network for uterine fibroid segmentation in high intensity focused ultrasound guidance images.

Scientific reports Jul 1, 2025
Ultrasound guidance images are widely used for high intensity focused ultrasound (HIFU) therapy; however, the speckles, acoustic shadows, and signal attenuation in ultrasound guidance images hinder the observation of the images by radiologists and ma...
Leiomyoma High-Intensity Focused Ultrasound Ablation Image Processing, Computer-Assisted Uterine Neoplasms Humans Female Ultrasonography Algorithms
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Synergizing advanced algorithm of explainable artificial intelligence with hybrid model for enhanced brain tumor detection in healthcare.

Scientific reports Jul 1, 2025
Brain tumor causes life-threatening consequences due to which its timely detection and accurate classification are critical for determining appropriate treatment plans while focusing on the improved patient outcomes. However, conventional approaches ...
Humans Algorithms Tomography, X-Ray Computed Brain Neoplasms Artificial Intelligence Machine Learning Deep Learning Magnetic Resonance Imaging
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A comprehensive study based on machine learning models for early identification Mycoplasma pneumoniae infection in segmental/lobar pneumonia.

Scientific reports Jul 1, 2025
Segmental/lobar pneumonia in children following Mycoplasma pneumoniae (MP) infection has a significant threat to the children's health, so early recognition of MP infection is critical to reduce the severity and improve the prognosis of segmental/lob...
Algorithms Pneumonia, Mycoplasma Mycoplasma pneumoniae Female Child Humans Infant Machine Learning Early Diagnosis Male Child, Preschool
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Automatic cattle identification system based on color point cloud using hybrid PointNet++ Siamese network.

Scientific reports Jul 1, 2025
Cattle health monitoring and management systems are essential for farmers and veterinarians, as traditional manual health checks can be time-consuming and labor-intensive. A critical aspect of such systems is accurate cattle identification, which ena...
Algorithms Image Processing, Computer-Assisted Animals Color Cattle Animal Identification Systems
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