Research on image generation technology based on deep learning by Li Jinchen

“…In the realm of image creation, deep learning stands out as an effective and valuable machine learning technique. …”
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Harvesting, Storing, and Feeding Forages as Round Bale Silage by William E. Kunkle

“…AN145/AN145: Harvesting, Storing, and Feeding Forages as Round Bale Silage (ufl.edu) …”
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Energy sufficiency for deep decarbonization: A modeling framework by Jingjing Zhang, Michelle Johnson-Wang, Nina Khanna, Max Wei, Bianka Shoai-Tehrani, Nan Zhou

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Silage Crops for Dairy and Beef Cattle I: Corn by Marcelo Wallau, João Vendramini, Adegbola Adesogan, Diwakar Vyas, Kevin Korus

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Living with Diabetes: Keeping Track of Your Blood Glucose by Linda B. Bobroff

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Temporary Food Plot Deterrents for Deer: Do They Work? by Holly Ober, Cheryl Mackowiak, Ann Blount

Subjects: “…Managing Deer and Deer Habitat…”
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Meeting Report: Research Topics in Gastrointestinal Disease IX by Nicola Jones, Ken Croitoru, Stephen Vanner, George Tolomiczenko, Paul Belanger, Louise Hope

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What Are Nutrient-Dense Fish Feeds and Their Importance in Aquaculture? by Richard D. Miles, Frank A. Chapman

“…Chapman, describes the key nutrition concepts in aquaculture, the role of nutrient-dense feed in animal performance and environmental water quality, and the potential for improved feed manufacturing technology improve the profitability and sustainability of the aquaculture industry. …”
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Semiactive Nonsmooth Control for Building Structure with Deep Learning by Qing Wang, Jianhui Wang, Xiaofang Huang, Li Zhang

“…Aiming at suppressing harmful effect for building structure by surface motion, semiactive nonsmooth control algorithm with Deep Learning is proposed. By finite-time stable theory, the building structure closed-loop system’s stability is discussed under the proposed control algorithm. …”
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Working with all nations and all relatives in feeding the future by Shaileshkumar Shukla

“…Food and food-sustaining relatives (land, water, plants, animals, micro-habitats) which are central to planetary health, are negatively impacted and threatened by these human pressures, which have severe implications for our ability to feed current and future generations (FAO et al., 2023; Planetary Health Alliance, n.d.). …”
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Earlier Intervention with Deep Brain Stimulation for Parkinson’s Disease by Gerson Suarez-Cedeno, Jessika Suescun, Mya C. Schiess

“…Neuromodulation of subcortical areas of the brain as therapy to reduce Parkinsonian motor symptoms was developed in the mid-twentieth century and went through many technical and scientific advances that established specific targets and stimulation parameters. Deep Brain Stimulation (DBS) was approved by the FDA in 2002 as neuromodulation therapy for advanced Parkinson’s disease, prompting several randomized controlled trials that confirmed its safety and effectiveness. …”
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Deep water vetulicolians from the lower Cambrian of China by Shuhan Ma, Julien Kimmig, James D. Schiffbauer, Ruibo Li, Shanchi Peng, Xianfeng Yang

“…PeerJ…”
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PILOTING A NEW SET OF THE AEER ACCREDITATION CRITERIA by Sergei I. Gerasimov, Sergei B. Mogilnitskiy, Alexander I. Chuchalin, Polina S. Shamritskaya, Sergei O. Shaposhnikov

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Living with Diabetes: Keeping Track of Your Blood Glucose by Linda B. Bobroff

“…Living with diabetes involves setting goals, adjusting your lifestyle to meet your treatment goals, evaluating your progress, and changing practices as needed. …”
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Optimising deep learning models for ophthalmological disorder classification by S. Vidivelli, P. Padmakumari, C. Parthiban, A. DharunBalaji, R. Manikandan, Amir H. Gandomi

“…In this article, we have used different deep learning models for the categorisation of ophthalmological disorders into multiple classes and multiple labels utilising transfer learning-based convolutional neural network (CNN) methods. …”
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Deep generative modeling of annotated bacterial biofilm images by Angelina A. Holicheva, Konstantin S. Kozlov, Daniil A. Boiko, Maxim S. Kamanin, Daria V. Provotorova, Nikita I. Kolomoets, Valentine P. Ananikov

“…This study introduces a versatile approach for creating synthetic datasets of annotated biofilm images with employing deep generative modeling techniques, including VAEs, GANs, diffusion models, and CycleGAN. …”
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Tips on Determining the Cause of Death in the Beef Cattle Operation by Taylor Davis, Lauren Butler, Christa Kirby, Bridget Stice, Todd Thrift, Lindsey Wiggins, Joao Bittar

“… Dealing with death losses on the ranch can be disheartening. After all, a beef cattle operation’s success is measured in pounds of live weight sold. …”
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Geometry, Space, Configuration: a Meeting with Anna Sgrosso by Agostino De Rosa, Andrea Giordano

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From Monster to Ancestor: The Emergence and Animation of the Deep Past by Richard Somerset

“…This article looks at the treatment of extinct species by scientific popularisers in the nineteenth century, and seeks to show how their status changed over time, and why. …”
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Diagnosis of oral cancer using deep learning algorithms by Mayra Alejandra Dávila Olivos, Henry Miguel Herrera Del Águila, Félix Melchor Santos López

“… The aim of this study was to use deep learning for the automatic diagnosis of oral cancer, employing images of the lips, mucosa, and oral cavity. …”
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