Pioneering Autonomous Technology: A Deep Dive Into Hyper Automation: Volume 143
暫譯: 開創自主技術:深入探討超自動化:第 143 卷

Poonia, Ramesh Chandra, Nayak, Soumya Ranjan, Swain, Kaliprasanna

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商品描述

Pioneering Autonomous Technology: A Deep dive into Hyper Automation, Volume 143 in the Advances in Computers series, showcases the transformative role of artificial intelligence, deep learning, and machine learning in creating safer, more efficient, and socially inclusive environments. This volume explores how autonomous technologies are reshaping healthcare, transportation, agriculture, and urban living. Chapters cover cutting-edge applications such as deep learning-based medical diagnostics for chronic diseases, retinal biomarkers for early detection of Alzheimer's and Parkinson's, and superior CNN approaches for agricultural automation. The book highlights advances in autonomous vehicles, from industry trends and electric vehicle integration to safety and societal impacts, as well as essential topics like cybersecurity challenges and machine learning-driven life expectancy prediction. Broader societal applications include income inequality modeling, sentiment analysis in Indian languages, and IoT-based smart city initiatives, offering readers a comprehensive perspective on the future of intelligent and autonomous systems.

商品描述(中文翻譯)

《開創自主技術:深入探討超自動化》(Pioneering Autonomous Technology: A Deep Dive into Hyper Automation)是《Advances in Computers》系列的第 143 卷,展現人工智慧(artificial intelligence)、深度學習(deep learning)與機器學習(machine learning)在打造更安全、更高效且更具社會包容性環境方面所扮演的變革性角色。本卷探討自主技術如何重新形塑醫療保健、運輸、農業與都市生活。

各章涵蓋多項尖端應用,包括以深度學習為基礎的慢性疾病醫療診斷、用於及早偵測 Alzheimer’s 與 Parkinson’s disease 的視網膜生物標記,以及用於農業自動化的優異 CNN 方法。本書也介紹自主車輛領域的最新進展,從產業趨勢與電動車整合,到安全性與社會影響;同時探討資安挑戰、以機器學習驅動的預期壽命預測等重要主題。

更廣泛的社會應用則包括所得不平等建模、印度語言的情感分析,以及以 IoT 為基礎的智慧城市計畫,為讀者提供對智慧與自主系統未來發展的全面觀點。