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A smartphone is a portable device that combines mobile telephone and computing functions into one unit. It is a cellular telephone with an integrated computer and other features not originally associated with telephones such as an operating system, web browsing, multimedia functionality, the ability to run software applications, along with core phone functions such as voice calls and text messaging. Smartphones typically contain a number of metal–oxide–semiconductor (MOS) integrated circuit (IC) chips, include various sensors that can be leveraged by pre-included and third-party software (such as a magnetometer, proximity sensors, barometer, gyroscope, accelerometer and more), and support wireless communications protocols (such as Bluetooth, Wi-Fi, or satellite navigation). The best phones offer you everything you want from a mobile device. They deliver great cameras, the performance you need to multitask and enough battery life. The existing brands for Smartphones nowadays are: Samsung, Xiaomi, iPhone, Nokia, Huawei, Google Pixel, HTC, Asus, LG, Alcatel, Infinix, Panasonic, BlackBerry, Tecno, TCL, Oppo, Realme, Gionee, ZTE, Sony, Vivo, Lava, Lenovo, Microsoft, and Motorola. The most popular brands of smartphones are: Samsung, Apple, Huawei, Xiaomi, Oppo, Vivo, Realme, Sony. Choosing a smartphone for yourself not easy task. Factors that affect your choices of Smart phone are: price range, features, the operating system you prefer, the important specs for you. To help you to pick the best smartphone for you, I provide here briefer review for the specifications of different types of smartphones along with some helpful customer reviews in order to see ow the customers evaluate the product. This report consists of the following sections: 1. Price comparison of different budget smartphone models. 2. The differences between 2G, 3G, 4G LTE, 5G networks and WIFI. 3. The differences between NFC and Bluetooth. 4. The differences Android and iOS. 5. How to choose a smartphone by brand, carrier, or features. 6. How to keep your phone from overheating. 7. Security issues according to Check Point. 8. Samsung. 9. Xiaomi Redmi. 10. Xiaomi Poco. 11. Apple. 12. Nokia. 13. Huawei. 14. Google Pixel. 15. Microsoft. 16. Realme. 17. Sony. 18. Others mobile brands: HTC, Asus, LG, Alcatel, Infinix, Panasonic, BlackBerry, Tecno, TCL, Gionee, ZTE, Oppo, Vivo, Lava, Lenovo, Motorola, Meizu, Honor, OnePlus. 19. References.
This proceedings volume brings together peer-reviewed papers presented at the International Conference on Information Technology and Computer Application Engineering, held 10-11 December 2014, in Hong Kong, China. Specific topics under consideration include Computational Intelligence, Computer Science and its Applications, Intelligent Information Processing and Knowledge Engineering, Intelligent Networks and Instruments, Multimedia Signal Processing and Analysis, Intelligent Computer-Aided Design Systems and other related topics. This book provides readers a state-of-the-art survey of recent innovations and research worldwide in Information Technology and Computer Application Engineering, in so-doing furthering the development and growth of these research fields, strengthening international academic cooperation and communication, and promoting the fruitful exchange of research ideas. This volume will be of interest to professionals and academics alike, serving as a broad overview of the latest advances in the dynamic field of Information Technology and Computer Application Engineering.
This e-book is a compilation of papers presented at the 6th Mechanical Engineering Research Day (MERD'19) - Kampus Teknologi UTeM, Melaka, Malaysia on 31 July 2019.
In this Special Issue, we present current developments and future directions of future intelligent systems and networks. This is the second Special Issue regarding the future of the Internet. This subject remains of interest for firms applying technological possibilities to promote more innovative business models. This Special Issue widens the application of intelligent systems and networks to firms so that they can evolve to more innovative models. The five contributions highlight useful applications, business models, or innovative practices based on intelligent systems and networks. We hope our findings become an inspiration for firms operating in various industries.
"Unlock the secrets of smartphone mastery with Smartphone 101. Inside, you'll find everything you need to know to pick the perfect smartphone for you, whether it's an Android or an iPhone. From understanding specs and batteries, to navigating contracts and apps, this comprehensive guide covers it all. Discover the ins and outs of RAM and CPU, as well as the importance of storage and device rooting. Learn the best practices for security and privacy, as well as tips for maintaining your device. Get answers to frequently asked questions about both Android and iPhone smartphones. Plus, explore the latest trends and side money ideas in the ever-evolving world of smartphones. Make the most of your device and stay ahead of the game with Smartphone 101." When it comes to choosing a smartphone, there are a few things you need to take into account. First, what operating system do you prefer? Android or iOS? Then, what brand do you prefer? Apple, Samsung, Huawei, Xaomi, or Google? Finally, what model of phone do you like best? The iPhone 13 or 14 Pro Max, the Galaxy S22 Plus, the Huawei Mate 40 Pro, the Xaomi MI 12 5G, or the Google Pixel 7 Pro? To help you choose the perfect phone for you, we've put together a quick guide to the top features of each phone. First, let's take a look at operating systems. iOS is known for its ease of use and attractive design while Android offers more customization options and a wider range of apps. Next, let's take a look at brands. Apple is known for its high-quality hardware and cutting-edge software while Samsung is loved for its powerful specs and expansive features. Huawei is known for its long-lasting batteries and impressive camera quality while Xaomi offers high-end features at an affordable price. Finally, let's take a look at models. The iPhone 14 Pro Max is Apple's newest and most advanced phone with a huge screen.
Artificial intelligence (AI) and big data have their thumbprints all over the modern asset management firm. Like detectives investigating a crime, the practitioner contributors to this book put the latest data science techniques under the microscope. And like any good detective story, much of what is unveiled is at the same time surprising and hiding in plain sight. Each chapter takes you on a well-guided tour of the development and application of specific AI and big data techniques and brings you up to the minute on how they are being used by asset managers. Given the diverse backgrounds and affiliations of our authors, this book is the perfect companion to start, refine, or plan the next phase of your data science journey.
This book discusses the contribution of excitation source information in discriminating language. The authors focus on the excitation source component of speech for enhancement of language identification (LID) performance. Language specific features are extracted using two different modes: (i) Implicit processing of linear prediction (LP) residual and (ii) Explicit parameterization of linear prediction residual. The book discusses how in implicit processing approach, excitation source features are derived from LP residual, Hilbert envelope (magnitude) of LP residual and Phase of LP residual; and in explicit parameterization approach, LP residual signal is processed in spectral domain to extract the relevant language specific features. The authors further extract source features from these modes, which are combined for enhancing the performance of LID systems. The proposed excitation source features are also investigated for LID in background noisy environments. Each chapter of this book provides the motivation for exploring the specific feature for LID task, and subsequently discuss the methods to extract those features and finally suggest appropriate models to capture the language specific knowledge from the proposed features. Finally, the book discuss about various combinations of spectral and source features, and the desired models to enhance the performance of LID systems.
This book constitutes the refereed proceedings of the Second CCF International Conference on Artificial Intelligence, CCF-ICAI 2019, held in Xuzhou, China in August, 2019. The 23 papers presented were carefully reviewed and selected from 97 submissions. The papers are organized in topical sections on ​deep learning, image and video processing, NLP and recommender system, machine learning algorithms, and AI applications.
Recently, digital interventions have proliferated and show promising results in preventing and treating common mental health disorders, such as depression, in different settings (e.g., workplaces). Digital interventions may have advantages over face-to-face interventions (e.g., more accessible; easily customisable; real-time monitoring). However, despite efforts made by healthcare systems worldwide (e.g., apps on prescription in Germany), actual adoption is still rather low in many countries. It is essential to understand innovation acceptance in order to tailor digital interventions and to measure user technology acceptance. In this way, determinants can be identified to derive strategies to promote acceptance. Technology acceptance has been studied extensively, resulting in the development of various theoretical models (e.g., Technology Acceptance Model-TAM; Unified Theory of Acceptance and Use of Technology-UTAUT, UTAUT2). Besides several methodological strengths, technology acceptance models also have various limitations, which makes it difficult to investigate causality or to generalize findings across different contexts, populations, and cultures.