basant agarwal

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 c

《Python數據結構與算法（第3版）》是一本面向初級及中級Python開發者與學生的專業技術書籍，聚焦數據結構與算法在Python中的實戰應用。書中系統介紹了Python基礎數據類型（如數值、布爾、序列、字典、集合）及集合模塊（命名元組、雙端隊列等），深入解析鏈表、棧、隊列、樹、堆、哈希表、圖等核心數據結構的原理與實現，並涵蓋冒泡排序、快速排序、二分搜索、KMP算法等經典算法的原理、Python代碼實現及性能分析。全書以“理論+案例+實操”為框架：通過對比數組與鏈表的特性、演示樹的遍歷邏輯、圖解圖的最小生成樹算法等，幫助讀者理解複雜概念；結合動態規劃、分治法、貪婪算法等設計範式，解析算法優化思路；穿插字符串匹配、優先級管理等實際場景案例，展現數據結構與算法在提升應用程序性能、處理大規模數據中的關鍵作用。此外，書中提供各章練習答案，並附贈樹算法擴展內容（可通過鏈接下載），助力讀者鞏固知識、深化實踐。無論是零基礎入門數據結構，還是進階優化算法設計，本書均以簡明的步驟說明與豐富的代碼示例，幫助讀者掌握高效存儲數據、設計可擴展程序的核心能力，適用於軟件開發、算法課程學習及技術提升等場景。

Cyber-Physical Systems: AI and COVID-19 highlights original research which addresses current data challenges in terms of the development of mathematical models, cyber-physical systems-based tools and techniques, and the design and development of algorithmic solutions, etc. It reviews the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS) and reviews tools and techniques that can be used. This book will act as a resource to guide COVID researchers as they move forward with clinical and epidemiological studies on this outbreak, including the technical concepts of gathering, processing and analyzing data from cyber-physical systems (CPS).The major problem in the identification of COVID-19 is detection and diagnosis due to non-availability of medicine. In this situation, only one method, Reverse Transcription Polymerase Chain Reaction (RT-PCR) has been widely adopted and used for diagnosis. With the evolution of COVID-19, the global research co