標(biāo)題: Titlebook: Applied Assistive Technologies and Informatics for Students with Disabilities; Rajesh Kaluri,Mufti Mahmud,Kuruva Lakshmanna Book 2024 The [打印本頁(yè)] 作者: implicate 時(shí)間: 2025-3-21 17:22
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities影響因子(影響力)
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities影響因子(影響力)學(xué)科排名
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities網(wǎng)絡(luò)公開(kāi)度
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities網(wǎng)絡(luò)公開(kāi)度學(xué)科排名
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities被引頻次
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities被引頻次學(xué)科排名
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities年度引用
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities年度引用學(xué)科排名
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities讀者反饋
書(shū)目名稱(chēng)Applied Assistive Technologies and Informatics for Students with Disabilities讀者反饋學(xué)科排名
作者: synovitis 時(shí)間: 2025-3-21 21:48 作者: 連累 時(shí)間: 2025-3-22 04:13
2731-9253 echnologies like artificial intelligence, blockchain, comput.The book “Applied Assistive Technologies and Informatics for Students with Disabilities” provides a comprehensive guide to assist students with learning disabilities in higher education via modern assistive technologies and informatics. Th作者: 增強(qiáng) 時(shí)間: 2025-3-22 04:45 作者: 控制 時(shí)間: 2025-3-22 11:15 作者: 怪物 時(shí)間: 2025-3-22 14:36
Xuejie Bai,Knox Lovell,Ruizhi Pangmotions. In this chapter, state-of-the-art techniques related to automatic speech and emotion recognition models are investigated and how these technologies can aid the education of the physically disabled.作者: Diaphragm 時(shí)間: 2025-3-22 19:31 作者: 增減字母法 時(shí)間: 2025-3-22 23:03 作者: defibrillator 時(shí)間: 2025-3-23 05:14
Deep Learning-Based Automatic Speech and Emotion Recognition for Students with Disabilities: A Revimotions. In this chapter, state-of-the-art techniques related to automatic speech and emotion recognition models are investigated and how these technologies can aid the education of the physically disabled.作者: Interdict 時(shí)間: 2025-3-23 07:45
Metaverse of Learning Disabilities in Higher Educational Institutions,cognitive and sensory engagement, leading to improved academic outcomes. Furthermore, it discusses the challenges and potential solutions in the implementation of AR technology, aiming to provide educators and technologists with insights into integrating AR into curriculum design effectively and inclusively.作者: Merited 時(shí)間: 2025-3-23 13:29 作者: 預(yù)定 時(shí)間: 2025-3-23 16:32 作者: 偏見(jiàn) 時(shí)間: 2025-3-23 20:29
Applied Assistive Technologies and Informatics for Students with Disabilities978-981-97-0914-4Series ISSN 2731-9253 Series E-ISSN 2731-9261 作者: blithe 時(shí)間: 2025-3-24 00:15
https://doi.org/10.1007/978-981-97-0914-4Disruptive Technologies; Advanced Data Analysis; Assistive Technology; Disabled learning; Artificial Int作者: pus840 時(shí)間: 2025-3-24 03:21 作者: 聯(lián)想 時(shí)間: 2025-3-24 06:50
https://doi.org/10.1007/978-3-030-68604-8ational system maintains a vast quantity of personal data, including student records, certificates, and academic accomplishments, in a central location. Data modification, unauthorised access, and single points of failure are all possible threats in these centralised data storage locations. This req作者: 貝雷帽 時(shí)間: 2025-3-24 13:21 作者: BALK 時(shí)間: 2025-3-24 17:06 作者: Adulate 時(shí)間: 2025-3-24 19:27 作者: 厭倦嗎你 時(shí)間: 2025-3-25 01:48 作者: 一大群 時(shí)間: 2025-3-25 03:41 作者: affect 時(shí)間: 2025-3-25 07:43
Anjali Tandon,Geethanjali Natarajdetect and interpret sign language gestures in real time. Sign language is a vital means of communication for individuals with hearing disabilities, allowing them to express their thoughts, needs, and emotions. However, there is often a communication gap between individuals who use sign language and作者: obeisance 時(shí)間: 2025-3-25 14:51
https://doi.org/10.1007/978-3-7091-0109-4of students with disabilities. Additionally assistive technologies are designed to help students overcome their barriers, facilitate their access to educational materials, and improve their learning experience. For example, commonly used assistive technologies include software that reads the text on作者: 范例 時(shí)間: 2025-3-25 19:27 作者: 尊重 時(shí)間: 2025-3-25 23:05 作者: 相符 時(shí)間: 2025-3-26 02:43 作者: compassion 時(shí)間: 2025-3-26 06:29
Xuejie Bai,Knox Lovell,Ruizhi Pangnd that everyone has an equal chance of success. One of the prevailing ideas is that if students work hard enough, exhibit determination and resilience and take charge of their education and prospects, they can all achieve. Students who have disabilities require support in order to compete successfu作者: Adrenaline 時(shí)間: 2025-3-26 10:54
https://doi.org/10.1007/978-981-10-7919-1ication and impact of augmented reality (AR) in the educational landscape for students with learning disabilities in higher education. The chapter begins by defining AR and its unique features, setting the stage for a comprehensive exploration of its role in creating interactive and immersive learni作者: 丑惡 時(shí)間: 2025-3-26 16:27
Feedback Control in Life and Society,logies stand out as a means to enhance learning efficiency and ensure equal educational opportunities for all. These technologies are particularly beneficial for students with disabilities, as they can help expand, maintain and improve their academic abilities. By utilising assistive technologies, s作者: 直覺(jué)好 時(shí)間: 2025-3-26 18:50 作者: 要控制 時(shí)間: 2025-3-26 23:44
Investment in Combined Heat and Power: CHPhanging paradigms and has driven promising breakthroughs in several fields, including education and healthcare, by leveraging the collaboration of advanced technologies. The objective of this paper is to present a comprehensive review of the recently published academic literature on Industry 5.0 in 作者: 確認(rèn) 時(shí)間: 2025-3-27 03:32
Blockchain for Handling the Data in Higher Education,ational system maintains a vast quantity of personal data, including student records, certificates, and academic accomplishments, in a central location. Data modification, unauthorised access, and single points of failure are all possible threats in these centralised data storage locations. This req作者: Expediency 時(shí)間: 2025-3-27 08:18 作者: 飛來(lái)飛去真休 時(shí)間: 2025-3-27 09:55
Virtual Environment Role in Higher Education Students Learning Enhancement with Intellectual Disabit decade. However, early advancements have neglected the impact of virtual learning environments (VLEs) on students with intellectual disabilities (IDs). Different focus groups help students with intellectual disabilities to make learning easy. Teaching and training in the VLE could eliminate spatia作者: CHURL 時(shí)間: 2025-3-27 15:49
AI Wizards: Pioneering Assistive Technologies for Higher Education Inclusion of Students with Learnbilities in higher education. This chapter explores the pioneering role of AI in the development and implementation of assistive technologies aimed at promoting inclusion and empowering students with learning disabilities in higher education settings. The chapter provides an overview of the challeng作者: 空氣 時(shí)間: 2025-3-27 18:46
The Impact of Virtual Reality and Augmented Reality in Inclusive Education, users in a computer-generated environment, while AR overlays digital content onto the real world. These technologies offer enhanced learning experiences, personalized and adaptive learning, and improved accessibility for students with disabilities. VR and AR simulations and laboratories provide saf作者: 缺陷 時(shí)間: 2025-3-28 01:11 作者: hair-bulb 時(shí)間: 2025-3-28 02:21 作者: 允許 時(shí)間: 2025-3-28 09:53 作者: ENDOW 時(shí)間: 2025-3-28 13:52 作者: 看法等 時(shí)間: 2025-3-28 17:23
,A Computer Vision Approach?to Enhance Visual Data used to Overcome the Learning Disabilities in Higities. Computer vision involves the analysis and interpretation of visual data, such as images and videos, using artificial intelligence, machine learning, and deep learning algorithms. By leveraging computer vision technologies, this study aims to address specific challenges faced by students with 作者: 充足 時(shí)間: 2025-3-28 22:24 作者: 類(lèi)人猿 時(shí)間: 2025-3-29 00:16 作者: 輕浮女 時(shí)間: 2025-3-29 07:03
Metaverse of Learning Disabilities in Higher Educational Institutions,ication and impact of augmented reality (AR) in the educational landscape for students with learning disabilities in higher education. The chapter begins by defining AR and its unique features, setting the stage for a comprehensive exploration of its role in creating interactive and immersive learni作者: 來(lái)就得意 時(shí)間: 2025-3-29 07:17 作者: 旅行路線(xiàn) 時(shí)間: 2025-3-29 12:48 作者: 新陳代謝 時(shí)間: 2025-3-29 19:21 作者: 側(cè)面左右 時(shí)間: 2025-3-29 21:25 作者: Glucocorticoids 時(shí)間: 2025-3-30 03:23 作者: craving 時(shí)間: 2025-3-30 07:29 作者: medieval 時(shí)間: 2025-3-30 09:41 作者: Generosity 時(shí)間: 2025-3-30 14:06 作者: 生命 時(shí)間: 2025-3-30 18:54 作者: delegate 時(shí)間: 2025-3-30 22:49 作者: 友好關(guān)系 時(shí)間: 2025-3-31 01:31
Anjali Tandon,Geethanjali Natarajes, public spaces, and social interactions. Furthermore, the dependence on human interpreters may lead to delays in communication, especially in situations where immediate interpretation is crucial. This chapter aims to develop an accurate sign language recognition machine learning model that enable作者: 沖突 時(shí)間: 2025-3-31 08:40
https://doi.org/10.1007/978-3-7091-0109-4converting spoken words into text. There are many software and applications designed to support students’ learning processes, for example, interactive math software that helps solve math problems or language learning apps that support language learning. These are special materials used to develop st作者: 利用 時(shí)間: 2025-3-31 09:58
Ruizhi Pang,Xuejie Bai,Knox Lovellue to perceptual distortion. Utilizing convolutional neural networks on EEG signals from dataset retrieved from Kaggle’s?data repository i.e.?“confused student EEG brainwave data,” the result shows remarkable accuracy?that is 97.35% while predicting dyslexia-related confusion?among students.作者: Digitalis 時(shí)間: 2025-3-31 14:52
Zhongqi Deng,Ruizhi Pang,Yu Fan study makes several recommendations for inclusive VR learning environment developers and educators, researchers, and policymakers in higher education settings as a reference based on the results. It is essential to conduct rigorous research in education to better understand the potential benefits, 作者: Carbon-Monoxide 時(shí)間: 2025-3-31 21:09
