Search Results - "Machine"

ID204 Meta-análise para identificar a capacidade da Machine Learning na predição de diabetes: potencial e impactos da tecnologia na saúde by Felipe Mendes Delpino, Ândria Krolow Costa, Leandro Faria Rodrigues, Bruno Pereira Nunes

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Comparative evaluation of bonding strength of computer aided machined ceramic, pressable ceramic, and milled metal implant abutment copings and effect of surface conditioning on bonding strength: An in vitro study by Sapna Rani, Mahesh Verma, Shubhra Gill, Rekha Gupta

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Screening for frequent hospitalization risk among community-dwelling older adult between 2016 and 2023: machine learning-driven item selection, scoring system development, and prospective validation by Eman Leung, Eman Leung, Jingjing Guan, Jingjing Guan, Qingpeng Zhang, Chun Cheung Ching, Hiliary Yee, Yilin Liu, Hang Sau Ng, Richard Xu, Hector Wing Hong Tsang, Hector Wing Hong Tsang, Albert Lee, Albert Lee, Albert Lee, Frank Youhua Chen

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Corrigendum: Navigating bioactivity space in anti-tubercular drug discovery through the deployment of advanced machine learning models and cheminformatics tools: a molecular modeling based retrospective study by Ratul Bhowmik, Ravi Kant, Ajay Manaithiya, Daman Saluja, Bharti Vyas, Ranajit Nath, Kamal A. Qureshi, Seppo Parkkila, Seppo Parkkila, Ashok Aspatwar

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Predicting missed health care visits during the COVID-19 pandemic using machine learning methods: evidence from 55,500 individuals from 28 European countries by Anna Reuter, Šime Smolić, Till Bärnighausen, Nikkil Sudharsanan

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Label‐free atherosclerosis diagnosis through a blood drop of apolipoprotein E knockout mouse model using surface‐enhanced Raman spectroscopy validated by machine learning algorithm by Sanghwa Lee, Miyeon Jue, Minju Cho, Kwanhee Lee, Bjorn Paulson, Hanjoong Jo, Joon Seon Song, Soo‐Jin Kang, Jun Ki Kim

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Correction: Emotional Distress During COVID-19 by Mental Health Conditions and Economic Vulnerability: Retrospective Analysis of Survey-Linked Twitter Data With a Semisupervised Machine Learning Algorithm by Michiko Ueda, Kohei Watanabe, Hajime Sueki

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Effect of discharge current and electrode size on material removal rate and wear ratio in electrical discharge machining / Ahsan Ali Khan, Mohammad Yeakub Ali and Md.... by Khan, Ahsan Ali, Ali, Mohammad Yeakub, Haque, Md. Mohafizul

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Towards development of robust machine learning model for Malaysian corporation: a systematic review of essential aspects for corporate credit risk assessment / Zulkifli Halim and Shuhaida Mohamed Shuhidan by Halim, Zulkifli, Mohamed Shuhidan, Shuhaida

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Web scraping and regression analysis based on machine learning for COVID-19 with rapid software platform / Aizal Yusrina Idris, Razan Bamoallem and Mohamad Harith Azfar Mohamad Hatta by Idris, Aizal Yusrina, Bamoallem, Razan, Mohamad Hatta, Mohamad Harith Azfar

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Self-service token vending machines: are train commuters satisfied and continue to use them?... by Mohd Halim, Muhammad Farhan, Mohi, Zurinawati, Raja Abdullah, Raja Puteri Saadiah

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PELATIHAN DAN PRODUKTIFITAS KERJA: Studi Evaluasi Dampak Pelatihan Pegawai Seksi Produksi Machining Terhadap Produktifitas Kerja Pegawai di PT.... by Kamajaya, Bambang Haris

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ANALISIS SENTIMEN PADA REVIEW PENGGUNA E-COMMERCE BIDANG PANGAN MENGGUNAKAN METODESUPPORT VECTOR MACHINE : (Studi Kasus: Review Sayurbox Dan Tanihub Pada Google Play) by Geyessella Manik,

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On the path to AI Law's prophecies and the conceptual foundations of the machine learning age / by Grant, Thomas D., Wischik, Damon J.

Table of Contents: “…Prologue: Starting with logic -- CHAPTER 1: Two Revolutions -- CHAPTER 2: Getting past logic -- CHAPTER 3: Experience and data as input -- CHAPTER 4: Finding patterns as the path from input to output -- CHAPTER 5: Output as prophecy -- CHAPTER 6: Explanations of machine learning -- CHAPTER 7: Juries and other reliable predictors -- CHAPTER 8: Poisonous datasets, poisonous trees -- CHAPTER 9: From Holmes to AlphaGo -- CHAPTER 10:Conclusion -- EPILOGUE: Lessons in two directions.…”
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The Datacenter as a Computer Designing Warehouse-Scale Machines, Third Edition / by Barroso, Luiz André, Hölzle, Urs, Ranganathan, Parthasarathy

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The Datacenter as a Computer Designing Warehouse-Scale Machines, Third Edition by Barroso, Luiz André

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The Datacenter as a Computer Designing Warehouse-Scale Machines, Third Edition by Barroso, Luiz André

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Learning to Quantify by Esuli, Andrea, Fabris, Alessandro, Moreo, Alejandro, Sebastiani, Fabrizio

Subjects: “…Machine learning.…”
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PostHumains : Frontières, évolutions, hybridités by Hélène Machinal

Subjects: “…système homme-machine…”
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Probabilistic Models for 3D Urban Scene Understanding from Movable Platforms by Geiger, Andreas

Subjects: “…machine learning…”
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