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It's a open theme book containing 23 stories, poems, anecdotes on love, life and grief.
Strategic analytics is a relatively new field in conjunction with strategic management and business intelligence. Generally, the strategic management field deals with the enhancement of the decision-making capabilities of managers. Typically, such decision-making processes are heavily dependent upon various internal and external reports. Managers need to develop their strategies using clear strategy processes supported by the increasing availability of data. This situation calls for a different approach to strategy, including integration with analytics, as the science of extracting value from data and structuring complex problems. Using Strategy Analytics to Measure Corporate Performance and...
It docs remind us of our legendary golden sparrow, our original values and lessons that our Gurus, saints and spiritual leaders taught us. It does remind us of barbarians who we abhorred, for they killed civilians, including women and children. Their barbarism enslaved us and snuffed out our conscience. Thus, because of our ego-stricken in righting, we did not come together to push those marauders out of our country. We could also not punish those who took over the reigns from those marauders of yore. The author introduces readers to SaMule, an avatar from Panchatantra or Aesopís Fables (if you allow me to say so). The running commentary of SaMule digs into your sides. So, you laugh to your heart's content! Read Samule's comments carefully, though.
This volume presents a selection of papers from the 2nd International Conference on Computational Methods in Manufacturing (ICCMM 2019). The papers cover the recent advances in computational methods for simulating various manufacturing processes like machining, laser welding, laser bending, strip rolling, surface characterization and measurement. Articles in this volume discuss both the development of new methods and the application and efficacy of existing computational methods in manufacturing sector. This volume will be of interest to researchers in both industry and academia working on computational methods in manufacturing.
A comprehensive review of the fundamental molecular mechanisms in fermentation and explores the microbiology of fermentation technology and industrial applications Microbial Sensing in Fermentation presents the fundamental molecular mechanisms involved in the process of fermentation and explores the applied art of microbiology and fermentation technology. The text contains descriptions regarding the extraordinary sensing ability of microorganisms towards small physicochemical changes in their surroundings. The contributors — noted experts in the field — cover a wide range of topics such as microbial metabolism and production (fungi, bacteria, yeast etc); refined and non-refined carbon so...
This book provides authoritative information, techniques and data necessary for the appropriate understanding of biomass and biowaste (understood as contaminated biomass) composition and behaviour while processed in various conditions and technologies. Numerous techniques for characterizing biomass, biowaste and by-product streams exist in literature. However, there lacks a reference book where these techniques are gathered in a single book, although such information is in increasingly high demand. This handbook provides a wealth of characterization methods, protocols, standards, databases and references relevant to various biomass, biowaste materials and by-products. It specifically address...
Many static and behavior-based malware detection methods have been developed to address malware and other cyber threats. Even though these cybersecurity systems offer good outcomes in a large dataset, they lack reliability and robustness in terms of detection. There is a critical need for relevant research on enhancing AI-based cybersecurity solutions such as malware detection and malicious behavior identification. Malware Analysis and Intrusion Detection in Cyber-Physical Systems focuses on dynamic malware analysis and its time sequence output of observed activity, including advanced machine learning and AI-based malware detection and categorization tasks in real time. Covering topics such as intrusion detection systems, low-cost manufacturing, and surveillance robots, this premier reference source is essential for cyber security professionals, computer scientists, students and educators of higher education, researchers, and academicians.
· This collection is unusual in that the essays are not written from a single perspective and instead cover aspects as diverse as socio-political issues, translation, performance, language and identity, literary analysis. · The style of all the essays is jargon-free and accessible to the lay reader. · Given the fact that the 400th anniversary of Shakespeare’s death comes up in 2016, this collection would be in the nature of both a retrospective appraisal as well as an anticipatory homage. · Its approaches are multi-disciplinary - from socio-historical analysis, to political commentary, translation studies, literary criticism and performance studies. · It will interest researchers interested in translation studies and performance studies, and literary critics.
It was a sunrise to remember when your memories rushed. Thinking of you, I kept walking on cobblestone streets. There was a deep conversation between my heart and head. I failed to understand why star crossed our love when we were each other’s north star. Seasons witnessed our union and inseparable bond like peaches and wine. Today every tattoo studio reminds me of your sacred heart tattoo which you got inked before the faerie hum whispered the fading summer of our ever blossoming love.
In the field of finance, the pervasive influence of algorithms has transformed the very fabric of the industry. Today, over 75% of trades are orchestrated by algorithms, making them the linchpin for trade automation, predictions, and decision-making. This algorithmic reliance, while propelling financial services into unprecedented efficiency, has also ushered in a host of challenges. As the financial sector becomes increasingly algorithm-driven, concerns about risk assessment, market manipulation, and the ethical implications of automated decision-making have taken center stage. Artificial Intelligence and Machine Learning-Powered Smart Finance, meticulously examines the intersection of comp...