Converting the Beef Cow Herd to a Controlled Breeding Season by Tim Wilson, Cindy Sanders, Mark Warren, Matt Hersom, Curt Lacy

“…AN267/AN267: Converting the Beef Cow Herd to a Controlled Breeding Season (ufl.edu) …”
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Unveiling the Complexity of Medical Imaging through Deep Learning Approaches by Javaid Iqbal Bhat, Novsheena Rasool

Subjects: “…deep learning…”
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The Exploration of Network Coding in IEEE 802.15.4 Networks by Deze Zeng, Song Guo, Victor Leung, Jiankun Hu

“…Since the coding opportunities are mostly exploited, our proposal achieves both higher energy efficiency and throughput performance than the original IEEE 802.15.4.…”
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Loan classification using a feed-forward neural network by U. I. Behunkou

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Uncertainty-aware deep learning in healthcare: A scoping review. by Tyler J Loftus, Benjamin Shickel, Matthew M Ruppert, Jeremy A Balch, Tezcan Ozrazgat-Baslanti, Patrick J Tighe, Philip A Efron, William R Hogan, Parisa Rashidi, Gilbert R Upchurch, Azra Bihorac

“…Mistrust is a major barrier to implementing deep learning in healthcare settings. Entrustment could be earned by conveying model certainty, or the probability that a given model output is accurate, but the use of uncertainty estimation for deep learning entrustment is largely unexplored, and there is no consensus regarding optimal methods for quantifying uncertainty. …”
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Response Analysis of Deep Foundation Excavation and Dewatering on Surface Settlements by Xian Li, Tingguo Zhou, Yixian Wang, Junling Han, Yanqiao Wang, Fang Tong, Delong Li, Jinmei Wen

“…Accurate prediction of surface settlements is a primary concern when deep excavations were carrying out under the water table in urban environments for the safety of the work site. …”
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Research Progress on Corrosion of Equipment and Materials in Deep-Sea Environment by Sheng Chen, Liping Qiu, Shaofang Sun, Junyi Yang, Qinghua Meng, Weibo Yang

“…The deep sea is the frontier of materials research in the 21st century. …”
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Serviceability Properties of Solid Buoyancy Materials for Deep-Sea HOV by Hailong Zhang, Guoliang Ma, Zhiwei Zhu

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Keeping an Eye on Crohn’s Disease: Orbital Myositis as the Presenting Symptom by Carol A Durno, Robert Ehrlich, Robert Taylor, J Raymond Buncic, Peter Hughes, Anne Marie Griffiths

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Results of replacing fish meal with insect protein in carp feeds by O. Deren, O. Bernakevych, L. Bobeliak, N. Hrytsyshyna, M. Koryliak

“…Substantiation of the prospects for replacing fish meal in the composition of carp feeds with black soldier fly meal (Hermetia illucens) based on the analysis of studies of productive and individual functional parameters of the body of experimental groups of fish. …”
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Performance Prediction for Higher Education Students Using Deep Learning by Shuping Li, Taotang Liu

“…Predicting students’ performance is very important in matters related to higher education as well as with regard to deep learning and its relationship to educational data. …”
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Deep Learning for Person Reidentification Using Support Vector Machines by Mengyu Xu, Zhenmin Tang, Yazhou Yao, Lingxiang Yao, Huafeng Liu, Jingsong Xu

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Advancements of Deep Learning Model-Based Rehabilitation Training System by Xu Chiyu

“…Traditional therapies for rehabilitation training in modern society are difficult to track patients dynamically, so this paper introduces a rehabilitation training evaluation system under deep learning modeling to help assess the effectiveness of rehabilitation training. …”
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Functional Skin Grafts: Where Biomaterials Meet Stem Cells by Amtoj Kaur, Swati Midha, Shibashish Giri, Sujata Mohanty

“…While several natural and synthetic biopolymers have been translated, only partial clinical success is attained so far. …”
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Fermi Unassociated Sources in the MeerKAT Absorption Line Survey by Morgan Himes, Preshanth Jagannathan, Dale A. Frail, Frank Schinzel, Neeraj Gupta, S. A. Balashev, F. Combes, P. P. Deka, H.-R. Klöckner, E. Momjian, J. D. Wagenveld

“…We have carried out an image-based search for steep spectrum radio sources, with in-band spectral index < −1.4, within the error regions of Fermi unassociated sources using 1–1.4 GHz radio data from the MeerKAT Absorption Line Survey (MALS) data release. …”
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Oral Feeding Competences of Healthy Preterm Infants: A Review by N. Bertoncelli, G. Cuomo, S. Cattani, C. Mazzi, M. Pugliese, E. Coccolini, P. Zagni, B. Mordini, F. Ferrari

“…With increasing sophistication and technology, survival rates hugely improved among preterm infants admitted to the neonatal intensive care unit. Nutrition and feeding remain a challenge and preterm infants are at high risk of encountering oral feeding difficulties. …”
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“My Health, My Right:” There Is More to It than Meets the Eye by Rajib Dasgupta, Rama Baru

“…The WHO’s World Health Day 2024 slogan, “My health, my right,” has been unpacked through the lens of an evolving social epidemiological understanding. …”
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Water quality assessment for aquaculture using deep neural network by Rajeshwarrao Arabelli, T. Bernatin, Venkataramana Veeramsetty

Subjects: “…Deep neural networks…”
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Strategic Infectious Diseases in Beef Cattle in Balongpanggang during 2023 by Wiwik Misaco Yuniarti, Bambang Sektiari Lukiswanto, Boedi Setiawan, Ira Sari Yudaniayanti, Nusdianto Triakoso, Mirza Atikah Madarina Hisyam, Lina Susanti, Apriliwiyani Niken Hastuti, Budi Santoso Sudjono

“…Meanwhile, bovine ephemeral fever (BEF) incidence reached 57% (876/1546) of the total diseases in beef cattle in 2023. In addition to BEF, official veterinary services reported a total case of 1546 throughout 2023 that comprises; diarrhea (99), limping (24), helminthiasis (91), ectoparasite (11), hematochezia (3), wound (3), mastitis (4), allergy (1), dystocia (28), vaginal prolapse (11), dermatitis (45), enteritis (27), tympani (11), scabiosis (122), arthritis (67), ophthalmic problem (11), endometritis (1), uterine retention (13), indigestion (2), pneumonia (21), hypoglycemia (5), abscess (21), ovariohysterectomy (1), orchitis (1), intoxication (1), and papilloma (1). …”
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An Experiment on the Use of Genetic Algorithms for Topology Selection in Deep Learning by Fernando Mattioli, Daniel Caetano, Alexandre Cardoso, Eduardo Naves, Edgard Lamounier

“…The choice of a good topology for a deep neural network is a complex task, essential for any deep learning project. …”
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