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Opportunities to improve marine forecasting
Commerce and the general public--especially those living in increasingly crowded, highly developed low-lying coastal communities--rely heavily on accurate forecasts of marine conditions and weather over the oceans to ensure the safe and productive use of the sea and coastal zone. This book examines the opportunities to improve our ocean forecasting systems made possible by new observational techniques and high-speed computers. Significant benefits from these potential improvements are possible for transportation, ocean energy and resources development, fisheries and recreation, and coastal management.
eBook
The case for books : past, present, and future
\"The era of the printed book is at a crossroad. E-readers are flooding the market, books are available to read on cell phones, and companies such as Google, Amazon, and Apple are competing to command near monopolistic positions as sellers and dispensers of digital information. Is the printed book resilient enough to survive the digital revolution, or will it become obsolete? In this lasting collection of essays, Robert Darnton--an intellectual pioneer in the field of this history of the book--lends unique authority to the life, role, and legacy of the book in society.\"--P. 4 of cover.
Book
Predicting Book Sales Trend using Deep Learning Framework
A deep learning framework like Generative Adversarial Network (GAN) has gained popularity in recent years for handling many different computer visions related problems. In this research, instead of focusing on generating the near-real images using GAN, the aim is to develop a comprehensive GAN framework for book sales ranks prediction, based on the historical sales rankings and different attributes collected from the Amazon site. Different analysis stages have been conducted in the research. In this research, a comprehensive data preprocessing is required before the modeling and evaluation. Extensive predevelopment on the data, related features selections for predicting the sales rankings, and several data transformation techniques are being applied before generating the models. Later then various models are being trained and evaluated on prediction results. In the GAN architecture, the generator network that used to generate the features is being built, and the discriminator network that used to differentiate between real and fake features is being trained before the predictions. Lastly, the regression GAN model prediction results are compared against the different neural network models like multilayer perceptron, deep belief network, convolution neural network.
Journal Article
Handbook of violence risk assessment and treatment
\"This book describes violence risk assessment in both juveniles and adults, incorporating dynamic and static factors, along with treatment alternativesÖ..Research and practice are combined quite nicely, along with assessment and treatment.
eBook
The age of em : work, love, and life when robots rule the Earth
Robots may one day rule the world, but what is a robot-ruled Earth like? Many think that the first truly smart robots will be brain emulations or \"ems.\" Robin Hanson draws on decades of expertise in economics, physics, and computer science to paint a detailed picture of this next great era in human (and machine) evolution - the age of em.
eBook
Engineers for Change
An account of conflicts within engineering in the 1960s that helped shape our dominant contemporary understanding of technological change as the driver of history.
In the late 1960s an eclectic group of engineers joined the antiwar and civil rights activists of the time in agitating for change. The engineers were fighting to remake their profession, challenging their fellow engineers to embrace a more humane vision of technology. In Engineers for Change, Matthew Wisnioski offers an account of this conflict within engineering, linking it to deep-seated assumptions about technology and American life.
The postwar period in America saw a near-utopian belief in technology's beneficence. Beginning in the mid-1960s, however, society—influenced by the antitechnology writings of such thinkers as Jacques Ellul and Lewis Mumford—began to view technology in a more negative light. Engineers themselves were seen as conformist organization men propping up the military-industrial complex. A dissident minority of engineers offered critiques of their profession that appropriated concepts from technology's critics. These dissidents were criticized in turn by conservatives who regarded them as countercultural Luddites. And yet, as Wisnioski shows, the radical minority spurred the professional elite to promote a new understanding of technology as a rapidly accelerating force that our institutions are ill-equipped to handle. The negative consequences of technology spring from its very nature—and not from engineering's failures. “Sociotechnologists” were recruited to help society adjust to its technology. Wisnioski argues that in responding to the challenges posed by critics within their profession, engineers in the 1960s helped shape our dominant contemporary understanding of technological change as the driver of history.
eBook
The Future Is BIG
How To Benefit From Emerging Technologies
From the daggers and axes of the cavemen societies to today's spacecraft, self-driving cars, metaverses, and AI-filled societies, technology has significantly emerged and brought about a massive transformation to our lives. The pace of this innovation has been particularly colossal in this industrial era, continuously disrupting our lives. Where will this imminent tech take us in the future?
This book will dissect how various aspects of our lives will be transformed in the years to come, with a particular focus on how to benefit from these emerging technologies. You will gain a 360 degree view by getting a historical perspective of technology because discussions about the future are seldom complete without history.
The ongoing debate on whether technology will replace our jobs is causing great panic. However, failure to catch up to technology is guaranteed to be catastrophic. This book will provide a freight of the latest tech-driven trends to equip everyone to face the future, like a one-time software upgrade.
Whether you are a student, a fresh graduate, a bewildered parent, or a tech enthusiast, this book offers everything you need to be ahead of the game. It will also help budding entrepreneurs, business owners, and corporate professionals identify opportunities to incorporate the right tech into their businesses and be at the forefront of innovation.
eBook
Machine Learning Methods in Weather and Climate Applications: A Survey
With the rapid development of artificial intelligence, machine learning is gradually becoming popular for predictions in all walks of life. In meteorology, it is gradually competing with traditional climate predictions dominated by physical models. This survey aims to consolidate the current understanding of Machine Learning (ML) applications in weather and climate prediction—a field of growing importance across multiple sectors, including agriculture and disaster management. Building upon an exhaustive review of more than 20 methods highlighted in existing literature, this survey pinpointed eight techniques that show particular promise for improving the accuracy of both short-term weather and medium-to-long-term climate forecasts. According to the survey, while ML demonstrates significant capabilities in short-term weather prediction, its application in medium-to-long-term climate forecasting remains limited, constrained by factors such as intricate climate variables and data limitations. Current literature tends to focus narrowly on either short-term weather or medium-to-long-term climate forecasting, often neglecting the relationship between the two, as well as general neglect of modeling structure and recent advances. By providing an integrated analysis of models spanning different time scales, this survey aims to bridge these gaps, thereby serving as a meaningful guide for future interdisciplinary research in this rapidly evolving field.
Journal Article