AIMC Topic: Swine
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Decomposition-reconstruction-optimization framework for hog price forecasting: Integrating STL, PCA, and BWO-optimized BiLSTM.
PloS one
Jun 27, 2025
This study constructs a multi-stage hybrid forecasting model using hog price time series data and its influencing factors to improve prediction accuracy. First, seven benchmark models including Prophet, ARIMA, and LSTM were applied to raw price serie...
Weakly supervised learning through box annotations for pig instance segmentation.
Scientific reports
Jun 4, 2025
Pig instance segmentation is a critical component of smart pig farming, serving as the basis for advanced applications such as health monitoring and weight estimation. However, existing methods typically rely on large volumes of precisely labeled mas...
Deep learning-based electrical impedance spectroscopy analysis for malignant and potentially malignant oral disorder detection.
Scientific reports
Jun 3, 2025
Electrical impedance spectroscopy (EIS) is a powerful tool used to investigate the properties of materials and biological tissues. This study presents one of the first applications of EIS for the detection and classification of oral potentially malig...
iPSC-RPE patch restores photoreceptors and regenerates choriocapillaris in a pig retinal degeneration model.
JCI insight
May 22, 2025
Dry age-related macular degeneration (AMD) is a leading cause of untreatable vision loss. In advanced cases, retinal pigment epithelium (RPE) cell loss occurs alongside photoreceptor and choriocapillaris degeneration. We hypothesized that an RPE-patc...
A Novel Dual-Network Approach for Real-Time Liveweight Estimation in Precision Livestock Management.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Apr 26, 2025
The increasing demand for automation in livestock farming scenarios highlights the need for effective noncontact measurement methods. The current methods typically require either fixed postures and specific positions of the target animals or high com...
Assessment of POPs in foods from western China: Machine learning insights into risk and contamination drivers.
Environment international
Apr 11, 2025
Persistent organic pollutants (POPs), including PCDD/Fs, PCBs, and PBDEs, are major environmental and food safety concerns due to their bioaccumulative and toxic properties. However, comprehensive research on the concentrations and influencing factor...
Traditional Chinese medicine as a promising choice for future control of PEDV.
Virus research
Apr 10, 2025
Porcine epidemic diarrhea virus (PEDV) is the major agent of the recent outbreaks of diarrhea in piglets, which has caused huge economic losses to the global swine industry. Since traditional vaccine strategies cannot provide complete protection for ...
Harnessing the oloid shape in magnetically driven robots to enable high-resolution ultrasound imaging.
Science robotics
Mar 26, 2025
Magnetic fields enable remote manipulation of objects and are ideal for medical applications because they pass through human tissue harmlessly. This capability is promising for surgical robots, allowing navigation deeper into the human anatomy and ac...
Development of a machine learning-based tension measurement method in robotic surgery.
Surgical endoscopy
Mar 21, 2025
BACKGROUND: Over 300,000 colorectal surgeries are performed annually in the U.S. with up to 10% complicated by anastomotic leaks, which cause significant morbidity and mortality. Despite its significant association with anastomotic leaks, tension is ...
Design and application of ISSA-BP neural network model for predicting soft tissue relaxation force.
Acta of bioengineering and biomechanics
Mar 18, 2025
: Accurate biomechanical modeling is crucial for enhancing the realism of virtual surgical training. This study addressed the computational cost and complexity associated with traditional viscoelastic models by incorporating neural network algorithms...
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