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Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions
Information and Communication Technologies (ICT) and Precision Livestock (PLF) Applications in Farm Conditions
VERİ MADENCİLİĞİ VE MAKİNE ÖĞRENMESİ İLE FARKLI ALANLARDA UYGULAMALAR
Yazarların 7 bölümden oluşan kitabında, veri madenciliği yöntemleri ile ilgili çeşitli konular anlatılmıştır. Kitap hem eğitim hem de araştırma niteliğine sahiptir. Hem Türkçe hem de İngilizce çalışmalar bulunmaktadır. İstatistikte ileri düzey konuları içeren veri madenciliği ile makine öğrenimi konularına ilgi duyan öğrenci, araştırmacı ve bilim insanlarının zevkle ve ilgi ile takip edecekleri bir eser olacağını umuyoruz.
Fundamentals of Food Process Engineering
Ten years after the publication of the first edition of Fundamentals of Food Process Engineering, there have been significant changes in both food science education and the food industry itself. Students now in the food science curric ulum are generally better prepared mathematically than their counterparts two decades ago. The food science curriculum in most schools in the United States has split into science and business options, with students in the science option following the Institute of Food Technologists' minimum requirements. The minimum requirements include the food engineering course, thus students en rolled in food engineering are generally better than average, and can be chal le...
Climate Change and Crop Production
Trends in population growth suggest that global food production is unlikely to satisfy future demand under predicted climate change scenarios unless rates of crop improvement are accelerated. This book provides an overview of the essential disciplines required for sustainable crop production in unpredictable environments.
The Coming Famine
Lays out a picture of impending planetary crisis - a global food shortage that threatens to hit by mid-century - that would dwarf any in our previous experience. This book describes a dangerous confluence of shortages - of water, land, energy, technology, and knowledge - combined with the increased demand created by population and economic growth
Multiple Comparisons
Multiple Comparisons introduces simultaneous statistical inference and covers the theory and techniques for all-pairwise comparisons, multiple comparisons with the best, and multiple comparisons with a control. The author describes confidence intervals methods and stepwise exposes abuses and misconceptions, and guides readers to the correct method for each problem. Discussions also include the connections with bioequivalence, drug stability, and toxicity studies Real data sets analyzed by computer software packages illustrate the applications presented.
Experimental Design and Analysis for Psychology
A complete course in data collection and analysis for students who need to go beyond the basics. A true course companion, the engaging writing style takes readers through challenging topics, blending examples and exercises with careful explanations and custom-drawn figures ensuring the most daunting concepts can be fully understood.
Advances in Plant Microbiome and Sustainable Agriculture
Microbes are ubiquitous in nature, and plant-microbe interactions are a key strategy for colonizing diverse habitats. The plant microbiome (epiphytic, endophytic and rhizospheric) plays an important role in plant growth and development and soil health. Further, rhizospheric soil is a valuable natural resource, hosting hotspots of microbes, and is vital in the maintenance of global nutrient balance and ecosystem function. The term endophytic microbes refers to those microorganisms that colonize the interior the plants. The phyllosphere is a common niche for synergism between microbes and plants and includes the leaf surface. The diverse group of microbes are key components of soil-plant syste...
Türk kültürü
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Prominent Feature Extraction for Sentiment Analysis
The objective of this monograph is to improve the performance of the sentiment analysis model by incorporating the semantic, syntactic and common-sense knowledge. This book proposes a novel semantic concept extraction approach that uses dependency relations between words to extract the features from the text. Proposed approach combines the semantic and common-sense knowledge for the better understanding of the text. In addition, the book aims to extract prominent features from the unstructured text by eliminating the noisy, irrelevant and redundant features. Readers will also discover a proposed method for efficient dimensionality reduction to alleviate the data sparseness problem being face...
