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living

  • 《湖泊生態(tài)的簡單模擬》(Simulation Of living Beings In A Lake )。這是我修讀美國卡耐基梅隆大學(xué)Carnegie Mellon University(CMU)課程s

    《湖泊生態(tài)的簡單模擬》(Simulation Of living Beings In A Lake )。這是我修讀美國卡耐基梅隆大學(xué)Carnegie Mellon University(CMU)課程ssd1:Information Systems時(shí)完成的一個(gè)課程設(shè)計(jì),內(nèi)含課程設(shè)計(jì)報(bào)告、類圖、源碼(1800多行),并附傳了workbench(CMU提供的虛擬服務(wù)器,可用tomcat替換)。本人當(dāng)時(shí)為軟件工程專業(yè)大一學(xué)生。

    標(biāo)簽: Simulation University Carnegie living

    上傳時(shí)間: 2014-01-01

    上傳用戶:leehom61

  • 小軟件 hunting for living 用c++ 編寫

    小軟件 hunting for living 用c++ 編寫 ,運(yùn)行在 vc++6.0環(huán)境中

    標(biāo)簽: hunting living for 軟件

    上傳時(shí)間: 2014-12-06

    上傳用戶:四只眼

  • Clinton, Hillary Rodham - living History 描述白宮生活

    Clinton, Hillary Rodham - living History 描述白宮生活

    標(biāo)簽: Clinton Hillary History Rodham

    上傳時(shí)間: 2016-02-13

    上傳用戶:youmo81

  • In this first-ever paperback edition of his long-time best-seller, motivational speaker Steve Chandl

    In this first-ever paperback edition of his long-time best-seller, motivational speaker Steve Chandler helps you create an action plan for living your vision in business and in life. It features 100 proven methods to positively change the way you think and act-methods based on feedback from the hundreds of thousands of corporate and public seminar attendees Chandler speaks to each year. 100 Ways to Motivate Yourself will help you break through the negative barriers and banish the pessimistic thoughts that are preventing you from fulfilling your lifelong goals and dreams. Whether you re self-employed, a manager, or a high-level executive, it s still easy to get stuck in the daily routines of life, fantasizing about what could have been. Steve Chandler helps you turn that way of thinking around and make what could have been into what can and will be.

    標(biāo)簽: motivational best-seller first-ever paperback

    上傳時(shí)間: 2015-10-26

    上傳用戶:牛津鞋

  • Building Future Smart Cities

    The world population is continuously growing and reached a significant evolution of the society, where the number of people living in cities surpassed the number of people in rural areas. 

    標(biāo)簽: Building Future Cities Smart

    上傳時(shí)間: 2020-05-23

    上傳用戶:shancjb

  • Foundations of MEMS

    Five years have passed since the first edition of this book was published.Over the five years,the world has witnessed a technological revolution headlined by an array of exciting consumer and industrial products such as the Nintendo Wii, Apple iPod/iPad, sensor-rich smart phones, phones with cameras,new operating systems for mobile phones and apps,e-books,WiFi,voice- over-IP calls, social networking, 3D animated movies, and cloud computing, to name the major ones that affect everyday living

    標(biāo)簽: Foundations MEMS of

    上傳時(shí)間: 2020-06-06

    上傳用戶:shancjb

  • Smart Homes

    In this research, we have designed, developed implemented a wireless sensor networks based smart home for safe, sound and secured living environment for any inhabitant especially elderly living alone. We have explored a methodology for the development of efficient electronic real time data processing system to recognize the behaviour of an elderly person. The ability to determine the wellness of an elderly person living alone in their own home using a robust, flexible and data driven artificially intelligent system has been investigated. A framework integrating temporal and spatial contextual information for determining the wellness of an elderly person has been modelled. A novel behaviour detection process based on the observed sensor data in performing essential daily activities has been designed and developed.

    標(biāo)簽: Smart Homes

    上傳時(shí)間: 2020-06-06

    上傳用戶:shancjb

  • Deep-Learning-with-PyTorch

    We’re living through exciting times. The landscape of what computers can do is changing by the week. Tasks that only a few years ago were thought to require higher cognition are getting solved by machines at near-superhuman levels of per- formance. Tasks such as describing a photographic image with a sentence in idiom- atic English, playing complex strategy game, and diagnosing a tumor from a radiological scan are all approachable now by a computer. Even more impressively, computers acquire the ability to solve such tasks through examples, rather than human-encoded of handcrafted rules.

    標(biāo)簽: Deep-Learning-with-PyTorch

    上傳時(shí)間: 2020-06-10

    上傳用戶:shancjb

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