From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“… In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. …”
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World Congress of Gastroenterology Meeting, Canada, September 9 to 14, 2005 by Richard N Fedorak, Philip M Sherman

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Continuing dental education (CDE) programs: Are dentists keeping themselves updated? by Ramandeep S. Gambhir, Umang Jagga, Rina Singh, Ramandeep Kaur, Garish Kumar, Aanchal Gupta

“…Shortage of time (257, 60.4%) and high cost/fee (249, 58.6%) of the CDE program were the main barriers that prevented the subjects from attending CDE programs. …”
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How Does Listening to “Fetal Heartbeats” Affect the Feelings of Pregnant Women? by Mehmet Sinan Beksac, Canan Unal, Burcu Yalaniz, Murat Cagan, Atakan Tanacan, Erdem Fadiloglu, Hanife Guler Donmez

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Barriers to sustainable green innovation in meeting the challenges of the global economy of firms by A. Escobar, J. Luna, A. Caraballo

“…During this period, the study on green innovation has been predominant and on the social component of sustainable innovation to a lesser extent. …”
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Deep Learning Framework for Advanced De-Identification of Protected Health Information by Ahmad Aloqaily, Emad E. Abdallah, Rahaf Al-Zyoud, Esraa Abu Elsoud, Malak Al-Hassan, Alaa E. Abdallah

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Acceptability of Rhizoma Peanut Forage by Horses and Its Benefits on Feeding Behavior by Carol Vasco, Jose Dubeux, Erick Santos, Carissa Wickens, Lori Warren

“… Rhizoma peanut hay has been demonstrated to benefit horses’ feeding behavior with reduced inactive time, which can result in lower risk for abnormal behaviors in stabled horses. …”
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Deep Learning-Based Dynamic Stable Cluster Head Selection in VANET by Muhammad Asim Saleem, Zhou Shijie, Muhammad Umer Sarwar, Tanveer Ahmad, Amarah Maqbool, Casper Shikali Shivachi, Maham Tariq

“…The last metric is trust; this is one of the concepts that has not been included in the weighted approach to date as per the literature. …”
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The Navigation of Home Service Robot Based on Deep Learning and Machine Learning by Yupei Yan, Weimin Ma, Sengfat Wong, Xuemei Yin, Qiang Pan, Zhiwen Liao, Xiaoxin Lin

“…This paper discusses how to improve the accuracy of navigation for home service robot based on the deep learning and machine learning. First, the crawling programing is applied to collect enough images of fridge and washing machine on the web; a deep learning framework is proposed that can distinguish fridge and washing machine more accurately. …”
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Feed efficiency improvement and aquaculture waste conversion to economically valuable product by Enang Harris

“…This paper also presents some experiment results and preliminary applications in field scale that have been performed in Indonesia. Keywords: feeding rate, oxygen, feed efficiency.   …”
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THE GENE POOL FOR TABLE BEET BREEDING (MODERN ASPECTS OF STUDY AND USE) by V. I. Burenin, D. V. Sokolova, T. M. Piskunova

“…Accessions with a wide distribution area that maintain high root productivity at 115–120% to the reference in different climatic conditions have been identified.Conclusions. The research has resulted in the identification of table beet accessions characterized by a complex of biological and economically important traits. …”
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The gut microbiota predicts and time-restricted feeding delays experimental colitis by Hannah K. Ruple, Eva Haasis, Anna Bettenburg, Carina Maier, Carolin Fritz, Laura Schüle, Sarah Löcker, Yvonne Soltow, Lynn Schintgen, Nina S. Schmidt, Celine Schneider, Axel Lorentz, W. Florian Fricke

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Not All Beef Marketing Alliances Are the Same: A Review of Alliance Types by Thomas E. Anton

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Rain Barrel Owners: Meeting the Programming Needs of the Unique Extension Audience by Emily Ott, Paul F. Monaghan, Wendy Wilber, Lynn Barber, Karissa Raymond

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PLANTNET: A DEEP LEARNING MODEL FOR EARLY DETECTION OF PLANT DISEASES by J Lenin, S Muthumarilakshmi, V S Prabhu

“…The results highlight the need to use modern technology in precision agriculture to protect crop health and boost farmer profitability.…”
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Psychological Motivation of Athletes’ Physical Training Based on Deep Learning Model by Yining Yang

“…Finally, it was concluded that the athletes are feeling more and more about the amount of training, and the minimum value P<0.01 showed a very significant difference, reflecting that the increase of training volume has a significant impact on the t-test value. …”
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Analysis of Mining Crack Evolution in Deep Floor Rock Mass with Fault by Juntao Chen, Yi Zhang, Kai Ma, Daozeng Tang, Hao Li, Chengxiang Zhang

“…Research shows that measures such as adopting improved mining technology, reducing mining disturbance, increasing coal pillar size, and grouting before mining as reinforcement and artificial forced roof can effectively prevent water inrush disasters caused by deep mining due to fault activation.…”
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Research and Application of 3D Clothing Design Based on Deep Learning by Chunnan Cao

“…In general, the characteristic lines of the key parts of the human body have been effectively identified. The author uses convolutional neural networks in deep learning, carrying out 3D scanning human body feature recognition, a large number of experiments have verified the effectiveness and feasibility of the algorithm.…”
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NUTRIENT MEDIUM SELECTION AND OPTIMIZATION OF AVIBACTERIUM PARAGALLINARUM DEEP CULTURE METHOD by M. S. Firsova, V. A. Yevgrafova, A. V. Potekhin

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Impact of Osmotic Distillation on the Sensory Properties and Quality of Low Alcohol Beer by Liguori Loredana, De Francesco Giovanni, Albanese Donatella, Mincione Antonio, Perretti Giuseppe, Di Matteo Marisa, Russo Paola

“…The production of low alcohol beer (LAB) with a full and well-balanced flavour is still now a complex challenge because of the different flavour profile they have compared to regular beers. …”
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