Results 171 to 180 of about 1,442,391 (360)
A Feasibility Study on the Potential Use of Near Infrared Reflectance Spectroscopy to Analyze Meat in Live Animals: Discrimination of Muscles [PDF]
Jessica Roberts +3 more
openalex +1 more source
Continual Learning for Multimodal Data Fusion of a Soft Gripper
Models trained on a single data modality often struggle to generalize when exposed to a different modality. This work introduces a continual learning algorithm capable of incrementally learning different data modalities by leveraging both class‐incremental and domain‐incremental learning scenarios in an artificial environment where labeled data is ...
Nilay Kushawaha, Egidio Falotico
wiley +1 more source
Assessment of safety risks associated with pork meat sold on the market in Abidjan city (Côte d'Ivoire) using surveys and microbial testing [PDF]
Kouamé Kohi Alfred +4 more
openalex +1 more source
Pak Biawak, a necrobot, embodies an unusual fusion of biology and robotics. Designed to repurpose natural structures after death, it challenges conventional boundaries between nature and engineering. Its movements are precise yet unsettling, raising questions about sustainability, ethics, and the untapped potential of biointegrated machines.
Leo Foulds +2 more
wiley +1 more source
A CROSS SECTIONAL ANALYSIS OF CONSUMER TRENDS IN RED MEAT CONSUMPTION [PDF]
Food consumption patterns have received considerable attention lately, especially changes in red meat consumption. This article examines and analyzes changes in meat consumption patterns in a southern state. Differences are reported based on demographics
Dellenbarger, Lynn E. +2 more
core +1 more source
Using Bayesian Optimization to Increase the Efficiency of III‐V Multijunction Solar Cells
Technology Computer Aided Design (TCAD) modeling is crucial for designing complex optoelectronic devices like III‐V multijunction solar cells. Bayesian optimization is proposed as a robust method to address challenges in optimizing costly black‐box TCAD solvers.
Pablo F. Palacios, Carlos Algora
wiley +1 more source
This study highlights the potential of deep learning, particularly Convolutional Neural Networks (CNNs), for predicting the photovoltaic performance of organic solar cells. By leveraging 2D images representing donor/acceptor molecular pairs, the model accurately estimates key performance indicators proving that this image‐based approach offers a fast ...
Khoukha Khoussa +2 more
wiley +1 more source
Assessment of meatal stenosis in neonates undergoing circumcision using Plastibell Device with two different techniques [PDF]
Hormoz Karami +2 more
openalex +1 more source
Using the convolutional neural network model VDLIN, Co7 is identified as a promising therapeutic candidate. Co7 demonstrates distinct advantages over MCB by effectively balancing anti‐inflammatory and immune‐stimulatory functions, making it a potential novel approach for immune modulation.
Xuefei Guo +6 more
wiley +1 more source

