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  • Article
  • Open Access
8 Citations
3,646 Views
17 Pages

Visual Implicit Learning Abilities in Infants at Familial Risk for Language and Learning Impairments

  • Roberta Bettoni,
  • Chiara Cantiani,
  • Valentina Riva,
  • Massimo Molteni and ,
  • Viola Macchi Cassia and
  • Hermann Bulf
  • + 1 author+ 0 author

The ability of infants to track transitional probabilities (Statistical Learning—SL) and to extract and generalize high-order rules (Rule Learning—RL) from sequences of items have been proposed as being pivotal for the acquisition of lang...

(This article belongs to the Special Issue The First 1000 Days of Life: Investigating Early Markers for Promoting Healthy Language Development)
  • Article
  • Open Access
21 Citations
11,209 Views
18 Pages

7 September 2021

This document evidences an innovative methodological vision in the teaching-learning process of the English language focused on the inclusion of all its students in a heterogeneous learning environment. Learning a foreign language as a second languag...

(This article belongs to the Section Special and Inclusive Education)
  • Review
  • Open Access
7 Citations
9,520 Views
36 Pages

31 August 2020

Late-life depression (LLD) affects about an eighth of community-dwelling seniors. LLD impacts well-being, with loneliness and small social networks being typical. It has also been linked to cognitive dysfunction and an increased risk of developing de...

  • Article
  • Open Access
2 Citations
3,601 Views
21 Pages

The Serbian Sign Language Alphabet: A Unique Authentic Dataset of Letter Sign Gestures

  • Mladen Radaković,
  • Marina Marjanović,
  • Ivana Ristić,
  • Valentin Kuleto and ,
  • Milena P. Ilić and
  • Svetlana Dabić-Miletić
  • + 1 author+ 0 author

8 February 2024

Language barriers and the communication difficulties of individuals with developmental disabilities are two major causes of communication problems that societies worldwide encounter. A particularly challenging group is hearing-impaired people who hav...

  • Review
  • Open Access
1,528 Views
12 Pages

11 October 2025

With the growing prevalence of bilingual education, second language (L2) reading impairment has garnered increasing attention. While extensive research has focused on reading impairment in the first language (L1), the neural mechanisms underlying L2...

(This article belongs to the Special Issue Learning Disabilities in Reading and Writing: Current Issues in Assessment and Intervention)
  • Article
  • Open Access
15 Citations
8,974 Views
14 Pages

Exploring AI Technology in Grammar Performance Testing for Children with Learning Disabilities

  • Dimitra V. Katsarou,
  • Evangelos Mantsos,
  • Soultana Papadopoulou,
  • Maria Sofologi and ,
  • Efthymia Efthymiou,
  • Ilias Vasileiou,
  • Kalliopi Megari,
  • Maria Theodoratou and
  • Georgios A. Kougioumtzis
  • + 4 authors+ 0 author

11 March 2025

The study explores the application of artificial intelligence (AI) in addressing grammar challenges among children with learning disabilities, aiming to assess the efficacy of an AI-driven tool for personalized interventions. A sample of 100 children...

(This article belongs to the Special Issue Innovative Practices for Students with Learning Disabilities)
  • Article
  • Open Access
6 Citations
3,448 Views
18 Pages

Inclusion in Higher Education: An Analysis of Teaching Materials for Deaf Students

  • Maria Aparecida Lima,
  • Ana Garcia-Valcárcel and
  • Manuel Meirinhos

30 September 2025

This study investigates the challenges of promoting accessibility for deaf teachers and students in higher education, focusing on the development of inclusive teaching materials. A qualitative case study was conducted in ten teacher training programm...

  • Article
  • Open Access
38 Citations
18,452 Views
13 Pages

3D Avatar Approach for Continuous Sign Movement Using Speech/Text

  • Debashis Das Chakladar,
  • Pradeep Kumar,
  • Shubham Mandal,
  • Partha Pratim Roy and ,
  • Masakazu Iwamura and
  • Byung-Gyu Kim
  • + 1 author+ 0 author

12 April 2021

Sign language is a visual language for communication used by hearing-impaired people with the help of hand and finger movements. Indian Sign Language (ISL) is a well-developed and standard way of communication for hearing-impaired people living in In...

(This article belongs to the Special Issue Artificial Intelligence for Multimedia Signal Processing)
  • Article
  • Open Access
35 Citations
7,054 Views
17 Pages

2 November 2020

Sign language was designed to allow hearing-impaired people to interact with others. Nonetheless, knowledge of sign language is uncommon in society, which leads to a communication barrier with the hearing-impaired community. Many studies of sign lang...

(This article belongs to the Section Wearables)
  • Review
  • Open Access
10 Citations
5,936 Views
40 Pages

Navigating the Complexity of Bilingual Aphasia: Current Insights and Future Directions

  • Marissa Russell-Meill,
  • Manuel J. Marte,
  • Erin Carpenter and
  • Swathi Kiran

14 September 2025

Bilingual aphasia is shaped by a dynamic interplay of neural, cognitive, linguistic, and experiential factors that influence both impairment and recovery. This review synthesizes current evidence on bilingual language organization, assessment, and tr...

(This article belongs to the Section Neurolinguistics)
  • Article
  • Open Access
27 Citations
7,313 Views
15 Pages

There are numerous communication barriers between people with and without hearing impairments. Writing and sign language are the most common modes of communication. However, written communication takes a long time. Furthermore, because sign language...

(This article belongs to the Special Issue Wearable Sensing Devices and Technology)
  • Article
  • Open Access
46 Citations
9,632 Views
15 Pages

Sign language recognition technology can help people with hearing impairments to communicate with non-hearing-impaired people. At present, with the rapid development of society, deep learning also provides certain technical support for sign language...

(This article belongs to the Section Computer Vision and Pattern Recognition)
  • Article
  • Open Access
245 Citations
39,335 Views
12 Pages

Deepsign: Sign Language Detection and Recognition Using Deep Learning

  • Deep Kothadiya,
  • Chintan Bhatt,
  • Krenil Sapariya,
  • Kevin Patel and ,
  • Ana-Belén Gil-González and
  • Juan M. Corchado
  • + 1 author+ 0 author

The predominant means of communication is speech; however, there are persons whose speaking or hearing abilities are impaired. Communication presents a significant barrier for persons with such disabilities. The use of deep learning methods can help...

(This article belongs to the Special Issue 10th Anniversary of Electronics: Recent Advances in Computer Science & Engineering)
  • Article
  • Open Access
29 Citations
6,126 Views
34 Pages

Sign and Human Action Detection Using Deep Learning

  • Shivanarayna Dhulipala,
  • Festus Fatai Adedoyin and
  • Alessandro Bruno

Human beings usually rely on communication to express their feeling and ideas and to solve disputes among themselves. A major component required for effective communication is language. Language can occur in different forms, including written symbols...

  • Article
  • Open Access
2 Citations
1,374 Views
15 Pages

A Novel Methodology for Data Augmentation in Cognitive Impairment Subjects Using Semantic and Pragmatic Features Through Large Language Models

  • Luis Roberto García-Noguez,
  • Sebastián Salazar-Colores,
  • Siddhartha Mondragón-Rodríguez and
  • Saúl Tovar-Arriaga

In recent years, researchers have become increasingly interested in identifying traits of cognitive impairment using audio from neuropsychological tests. Unfortunately, there is no universally accepted terminology system that can be used to describe...

(This article belongs to the Special Issue Advances in Biomedical Engineering and Artificial Intelligence for Neurological Health)
  • Article
  • Open Access
69 Citations
11,402 Views
24 Pages

Real-Time Arabic Sign Language Recognition Using a Hybrid Deep Learning Model

  • Talal H. Noor,
  • Ayman Noor,
  • Ahmed F. Alharbi,
  • Ahmed Faisal and ,
  • Rakan Alrashidi,
  • Ahmed S. Alsaedi,
  • Ghada Alharbi,
  • Tawfeeq Alsanoosy and
  • Abdullah Alsaeedi
  • + 4 authors+ 0 author

6 June 2024

Sign language is an essential means of communication for individuals with hearing disabilities. However, there is a significant shortage of sign language interpreters in some languages, especially in Saudi Arabia. This shortage results in a large pro...

(This article belongs to the Special Issue Deep Learning Technology and Image Sensing)
  • Entry
  • Open Access
2 Citations
2,599 Views
23 Pages

Singing-Oriented Language and Music Education (SOLME)

  • Markus Christiner and
  • Karen M. Ludke

Singing-Oriented Language and Music Education (SOLME) is an accessible, low-resource pedagogical and cognitive framework in which singing serves as the primary interface through which musical activities support both first and foreign language acquisi...

(This article belongs to the Collection Encyclopedia of Social Sciences)
  • Article
  • Open Access
14 Citations
10,566 Views
27 Pages

The aim of this research was to investigate the role of smartphones in teaching the English language to a population of fifteen, visually-impaired Brazilian students. Classroom ethnography was chosen as the methodological design and data generated fr...

(This article belongs to the Special Issue MOBILizing Language Learning in the 21st Century)
  • Article
  • Open Access
20 Citations
10,292 Views
19 Pages

A Novel Machine Learning Based Two-Way Communication System for Deaf and Mute

  • Muhammad Imran Saleem,
  • Atif Siddiqui,
  • Shaheena Noor,
  • Miguel-Angel Luque-Nieto and
  • Pablo Otero

29 December 2022

Deaf and mute people are an integral part of society, and it is particularly important to provide them with a platform to be able to communicate without the need for any training or learning. These people rely on sign language, but for effective comm...

  • Article
  • Open Access
70 Citations
21,293 Views
17 Pages

Language Problems and ADHD Symptoms: How Specific Are the Links?

  • Erin Hawkins,
  • Susan Gathercole,
  • Duncan Astle,
  • The CALM Team and
  • Joni Holmes

21 October 2016

Symptoms of inattention and hyperactivity frequently co-occur with language difficulties in both clinical and community samples. We explore the specificity and strength of these associations in a heterogeneous sample of 254 children aged 5 to 15 year...

(This article belongs to the Section Developmental Neuroscience)
  • Article
  • Open Access
5 Citations
2,569 Views
23 Pages

Testing of Indoor Obstacle-Detection Prototypes Designed for Visually Impaired Persons

  • Radu Păpară,
  • Loredana Grec,
  • Ioana-Adriana Potarniche and
  • Ramona Gălătuș Voichița

21 February 2024

Outdoor solutions aiding the navigation of visually impaired individuals can seamlessly transition to indoor environments. Take, for instance, the adaptation of special lanes and configurations on the floor. However, these existing solutions fall sho...

(This article belongs to the Section Mechanical Engineering)
  • Article
  • Open Access
113 Citations
17,776 Views
20 Pages

Deep Learning in Sign Language Recognition: A Hybrid Approach for the Recognition of Static and Dynamic Signs

  • Ahmed Mateen Buttar,
  • Usama Ahmad,
  • Abdu H. Gumaei,
  • Adel Assiri and ,
  • Muhammad Azeem Akbar and
  • Bader Fahad Alkhamees
  • + 1 author+ 0 author

30 August 2023

A speech impairment limits a person’s capacity for oral and auditory communication. A great improvement in communication between the deaf and the general public would be represented by a real-time sign language detector. This work proposes a de...

(This article belongs to the Section E1: Mathematics and Computer Science)
  • Article
  • Open Access
65 Citations
16,756 Views
18 Pages

Bangla Sign Language (BdSL) Alphabets and Numerals Classification Using a Deep Learning Model

  • Kanchon Kanti Podder,
  • Muhammad E. H. Chowdhury,
  • Anas M. Tahir,
  • Zaid Bin Mahbub and ,
  • Amith Khandakar,
  • Md Shafayet Hossain and
  • Muhammad Abdul Kadir
  • + 2 authors+ 0 author

12 January 2022

A real-time Bangla Sign Language interpreter can enable more than 200 k hearing and speech-impaired people to the mainstream workforce in Bangladesh. Bangla Sign Language (BdSL) recognition and detection is a challenging topic in computer vision and...

(This article belongs to the Section Optical Sensors)
  • Article
  • Open Access
42 Citations
5,577 Views
22 Pages

5 February 2021

Sign language is the most important way of communication for hearing-impaired people. Research on sign language recognition can help normal people understand sign language. We reviewed the classic methods of sign language recognition, and the recogni...

(This article belongs to the Special Issue Sensors for Posture and Human Motion Recognition)
  • Article
  • Open Access
41 Citations
6,082 Views
15 Pages

Design and Implementation of Deep Learning Based Contactless Authentication System Using Hand Gestures

  • Aveen Dayal,
  • Naveen Paluru,
  • Linga Reddy Cenkeramaddi,
  • Soumya J. and
  • Phaneendra K. Yalavarthy

Hand gestures based sign language digits have several contactless applications. Applications include communication for impaired people, such as elderly and disabled people, health-care applications, automotive user interfaces, and security and survei...

(This article belongs to the Section Artificial Intelligence Circuits and Systems (AICAS))
  • Article
  • Open Access
3 Citations
3,806 Views
14 Pages

10 February 2023

Scholars have confirmed that apart from being an aid to hearing impaired or deaf people, intralingual subtitles, also known as captions, have a function as an audio–visual aid in language learning as well. While many studies verified the effect...

  • Article
  • Open Access
6 Citations
4,858 Views
27 Pages

15 December 2019

According to a study by the Department of Statistics, Ministry of Health and Welfare, Taiwan, a total of 15,145 people had a voice function impairment or speech function impairment, and a total of 122,533 people had a hearing impairment by the second...

  • Proceeding Paper
  • Open Access
2 Citations
4,608 Views
10 Pages

AI-Powered Sign Language Detection Using YOLO-v11 for Communication Equality

  • Ivana Lucia Kharisma,
  • Irma Nurmalasari,
  • Yuni Lestari,
  • Salma Dela Septiani and ,
  • Kamdan and
  • Muchtar Ali Setyo Yudono
  • + 1 author+ 0 author

8 September 2025

Communication plays a vital role in conveying messages, expressing emotions, and sharing perceptions, becoming a fundamental aspect of human interaction with the environment. For individuals with hearing impairments, sign language serves as an essent...

(This article belongs to the Proceedings of The 7th International Global Conference Series on ICT Integration in Technical Education & Smart Society)
  • Review
  • Open Access
8 Citations
58,350 Views
18 Pages

Cognitive Effects of Cannabis Use: A Comprehensive Review Across Domains

  • Andréia Pucinelli de Souza Queiroz,
  • Maria Olivia Pozzolo Pedro,
  • Marcela Waisman Campos,
  • Julio Torales and ,
  • Antonio Ventriglio and
  • João Mauricio Castaldelli-Maia
  • + 1 author+ 0 author

Cannabis is the most widely consumed illicit substance worldwide, with rising use particularly among adolescents and young adults. Accumulating evidence indicates that chronic cannabis use may negatively impact several domains of cognition, yet findi...

  • Article
  • Open Access
9 Citations
4,231 Views
25 Pages

Use of Spherical and Cartesian Features for Learning and Recognition of the Static Mexican Sign Language Alphabet

  • Homero V. Rios-Figueroa,
  • Angel J. Sánchez-García,
  • Candy Obdulia Sosa-Jiménez and
  • Ana Luisa Solís-González-Cosío

12 August 2022

The automatic recognition of sign language is very important to allow for communication by hearing impaired people. The purpose of this study is to develop a method of recognizing the static Mexican Sign Language (MSL) alphabet. In contrast to other...

(This article belongs to the Section E1: Mathematics and Computer Science)
  • Article
  • Open Access
11 Citations
6,387 Views
24 Pages

Real-Time Machine Learning for Accurate Mexican Sign Language Identification: A Distal Phalanges Approach

  • Gerardo García-Gil,
  • Gabriela del Carmen López-Armas,
  • Juan Jaime Sánchez-Escobar,
  • Bryan Armando Salazar-Torres and
  • Alma Nayeli Rodríguez-Vázquez

Effective communication is crucial in daily life, and for people with hearing disabilities, sign language is no exception, serving as their primary means of interaction. Various technologies, such as cochlear implants and mobile sign language transla...

(This article belongs to the Special Issue The Future of Healthcare: Biomedical Technology and Integrated Artificial Intelligence 2nd Edition)
  • Article
  • Open Access
4 Citations
3,887 Views
13 Pages

Deep Learning-Based End-to-End Language Development Screening for Children Using Linguistic Knowledge

  • Byoung-Doo Oh,
  • Yoon-Kyoung Lee,
  • Jong-Dae Kim,
  • Chan-Young Park and
  • Yu-Seop Kim

6 May 2022

Language development is inextricably linked to the development of fundamental human abilities. A language problem can result from abnormal language development in childhood, which has a severe impact on other elements of life. As a result, early trea...

(This article belongs to the Special Issue Selected Papers from IMETI 2021)
  • Article
  • Open Access
10 Citations
6,791 Views
16 Pages

VL-Meta: Vision-Language Models for Multimodal Meta-Learning

  • Han Ma,
  • Baoyu Fan,
  • Benjamin K. Ng and
  • Chan-Tong Lam

16 January 2024

Multimodal learning is a promising area in artificial intelligence (AI) that can make the model understand different kinds of data. Existing works are trying to re-train a new model based on pre-trained models that requires much data, computation pow...

(This article belongs to the Section E1: Mathematics and Computer Science)
  • Case Report
  • Open Access
2 Citations
1,112 Views
12 Pages

Auditory Electrophysiology of an Adolescent with Both Language and Learning Disorders

  • Aparecido J. Couto Soares,
  • Adriana Neves de Andrade,
  • Piotr Henryk Skarzynki,
  • Claudia Berlim de Mello and
  • Milaine Dominici Sanfins

2 November 2025

Background and Clinical Significance: developmental language disorder (DLD) and specific learning disorder (SLD) may coexist, resulting in significantly broader impairments to oral and written language skills. Understanding the neurobiological basis...

(This article belongs to the Special Issue Advances in the Diagnosis and Management of ENT (Ear–Nose–Throat) Diseases)
  • Review
  • Open Access
987 Views
47 Pages

A Comprehensive Review of SLR Systems: Challenges, Datasets, and Unresolved Gaps

  • Aigerim Yerimbetova,
  • Ulmeken Berzhanova,
  • Marek Milosz,
  • Bakzhan Sakenov and ,
  • Elmira Daiyrbayeva and
  • Lyailya Cherikbayeva
  • + 1 author+ 0 author

With the rapid advancement of sensor technologies, automated sign language recognition (SLR) has emerged as a critical enabler of inclusive communication systems for individuals with hearing and speech impairments. Although substantial research effor...

(This article belongs to the Section Computer Vision and Pattern Recognition)
  • Article
  • Open Access
12 Citations
8,303 Views
11 Pages

An AI-Based Framework for Translating American Sign Language to English and Vice Versa

  • Vijayendra D. Avina,
  • Md Amiruzzaman,
  • Stefanie Amiruzzaman,
  • Linh B. Ngo and
  • M. Ali Akber Dewan

15 October 2023

In this paper, we propose a framework to convert American Sign Language (ASL) to English and English to ASL. Within this framework, we use a deep learning model along with the rolling average prediction that captures image frames from videos and clas...

(This article belongs to the Section Artificial Intelligence)
  • Article
  • Open Access
39 Citations
9,934 Views
15 Pages

29 November 2023

Sign language recognition is essential in hearing-impaired people’s communication. Wearable data gloves and computer vision are partially complementary solutions. However, sign language recognition using a general monocular camera suffers from...

(This article belongs to the Special Issue Machine Learning and Deep Learning Based Pattern Recognition)
  • Article
  • Open Access
9 Citations
6,377 Views
22 Pages

Bilingual Sign Language Recognition: A YOLOv11-Based Model for Bangla and English Alphabets

  • Nawshin Navin,
  • Fahmid Al Farid,
  • Raiyen Z. Rakin,
  • Sadman S. Tanzim and ,
  • Mashrur Rahman,
  • Shakila Rahman,
  • Jia Uddin and
  • Hezerul Abdul Karim
  • + 3 authors+ 0 author

Communication through sign language effectively helps both hearing- and speaking-impaired individuals connect. However, there are problems with the interlingual communication between Bangla Sign Language (BdSL) and English Sign Language (ASL) due to...

(This article belongs to the Section Computer Vision and Pattern Recognition)
  • Article
  • Open Access
12 Citations
5,802 Views
13 Pages

Grammatical Comprehension in Italian Children with Autism Spectrum Disorder

  • Jessica Barsotti,
  • Gloria Mangani,
  • Roberta Nencioli,
  • Lucia Pfanner and ,
  • Raffaella Tancredi,
  • Angela Cosenza,
  • Gianluca Sesso,
  • Antonio Narzisi,
  • Filippo Muratori and
  • Anna Maria Chilosi
  • + 6 authors+ 1 author

Language deficits represent one of the most relevant factors that determine the clinical phenotype of children with autism spectrum disorder (ASD). The main aim of the research was to study the grammatical comprehension of children with ASD. A sample...

(This article belongs to the Special Issue Advances in Autism Research)
  • Article
  • Open Access
30 Citations
6,116 Views
19 Pages

Fusion-Based Body-Worn IoT Sensor Platform for Gesture Recognition of Autism Spectrum Disorder Children

  • Farman Ullah,
  • Najah Abed AbuAli,
  • Asad Ullah,
  • Rehmat Ullah and ,
  • Uzma Abid Siddiqui and
  • Afsah Abid Siddiqui
  • + 1 author+ 0 author

3 February 2023

The last decade’s developments in sensor technologies and artificial intelligence applications have received extensive attention for daily life activity recognition. Autism spectrum disorder (ASD) in children is a neurological development disor...

(This article belongs to the Special Issue Disruptive Technologies and Wireless Sensor Network Communication Algorithms)
  • Article
  • Open Access
14 Citations
10,326 Views
9 Pages

The Effects of the Pragmatic Intervention Programme in Children with Autism Spectrum Disorder and Developmental Language Disorder

  • Tatiana Pereira,
  • Ana Margarida Ramalho,
  • Ana Rita S. Valente,
  • Pedro Sá Couto and
  • Marisa Lousada

29 November 2022

Purpose: Children with Autism Spectrum Disorder (ASD) and Developmental Language Disorder (DLD) frequently face pragmatic impairments which may result in learning, socialization, and mental health difficulties, therefore early intervention is crucial...

(This article belongs to the Special Issue Advances in Psycholinguistics and Cognition in Language Processing)
  • Article
  • Open Access
2 Citations
3,792 Views
16 Pages

27 January 2025

Diversity is understood as a significant advantage for inclusive learning. However, the questions of whether linguistic and communicative diversity in the classroom is truly beneficial and whether mutually linguistic support is effective between stud...

(This article belongs to the Special Issue Cultivating Inclusive Classrooms: Practices in Special Education)
  • Perspective
  • Open Access
3 Citations
5,776 Views
21 Pages

26 June 2025

Integration of advanced artificial intelligence with neurotechnology offers transformative potential for assistive communication. This perspective article examines the emerging convergence between non-invasive brain–computer interface (BCI) spe...

(This article belongs to the Section Biomedical Sensors)
  • Article
  • Open Access
10 Citations
4,209 Views
20 Pages

Creating a Parallel Corpus for the Kazakh Sign Language and Learning

  • Aigerim Yerimbetova,
  • Bakzhan Sakenov,
  • Madina Sambetbayeva,
  • Elmira Daiyrbayeva and ,
  • Ulmeken Berzhanova and
  • Mohamed Othman
  • + 1 author+ 0 author

5 March 2025

Kazakh Sign Language (KSL) is a crucial communication tool for individuals with hearing and speech impairments. Deep learning, particularly Transformer models, offers a promising approach to improving accessibility in education and communication. Thi...

(This article belongs to the Section Computing and Artificial Intelligence)
  • Article
  • Open Access
32 Citations
7,664 Views
21 Pages

29 January 2023

Sign language is a natural, structured, and complete form of communication to exchange information. Non-verbal communicators, also referred to as hearing impaired and hard of hearing (HI&HH), consider sign language an elemental mode of communicat...

(This article belongs to the Special Issue Machine Translation for Conquering Language Barriers)
  • Article
  • Open Access
100 Citations
10,969 Views
18 Pages

Dementia Detection from Speech Using Machine Learning and Deep Learning Architectures

  • M. Rupesh Kumar,
  • Susmitha Vekkot,
  • S. Lalitha,
  • Deepa Gupta and ,
  • Varasiddhi Jayasuryaa Govindraj,
  • Kamran Shaukat,
  • Yousef Ajami Alotaibi and
  • Mohammed Zakariah
  • + 3 authors+ 0 author

29 November 2022

Dementia affects the patient’s memory and leads to language impairment. Research has demonstrated that speech and language deterioration is often a clear indication of dementia and plays a crucial role in the recognition process. Even though ea...

(This article belongs to the Section Sensing and Imaging)
  • Review
  • Open Access
58 Citations
33,391 Views
32 Pages

In a now-classic article published a couple of decades ago (Brain, 2000; 123: 2373–2399), I proposed an “extended temporal processing deficit hypothesis of dyslexia”, suggesting that a deficit in temporal processing could explain not only language-re...

(This article belongs to the Special Issue Neurobiological Basis of Developmental Dyslexia)
  • Feature Paper
  • Article
  • Open Access
1 Citations
4,516 Views
11 Pages

20 January 2021

The purpose of the study was to examine whether monolingual adults can identify the bilingual children with LI on the basis of children’s response speed to the examiner. Participants were 37 monolingual English-speaking young adults. Stimuli we...

(This article belongs to the Special Issue Language Development in Children: Description to Detect and Prevent Language Difficulties)
  • Article
  • Open Access
11 Citations
4,649 Views
25 Pages

Communication is integral to every human’s life, allowing individuals to express themselves and understand each other. This process can be challenging for the hearing-impaired population, who rely on sign language for communication due to the l...

(This article belongs to the Special Issue Image and Signal Processing)
  • Article
  • Open Access
123 Views
20 Pages

20 October 2026

Very low-bit quantization of a multimodal large language model’s vision encoder can impair text recognition and chart understanding. We present projected-feature scale calibration (PSC), an image-only post-training method for 2-bit vision encod...

(This article belongs to the Special Issue Scalable AI Systems: Compression, Efficiency, and Hardware-Software Co-Design)

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