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  • Open Access

    ARTICLE

    Enhancing Communication Accessibility: UrSL-CNN Approach to Urdu Sign Language Translation for Hearing-Impaired Individuals

    Khushal Das1, Fazeel Abid2, Jawad Rasheed3,4,*, Kamlish5, Tunc Asuroglu6,*, Shtwai Alsubai7, Safeeullah Soomro8

    CMES-Computer Modeling in Engineering & Sciences, Vol.141, No.1, pp. 689-711, 2024, DOI:10.32604/cmes.2024.051335 - 20 August 2024

    Abstract Deaf people or people facing hearing issues can communicate using sign language (SL), a visual language. Many works based on rich source language have been proposed; however, the work using poor resource language is still lacking. Unlike other SLs, the visuals of the Urdu Language are different. This study presents a novel approach to translating Urdu sign language (UrSL) using the UrSL-CNN model, a convolutional neural network (CNN) architecture specifically designed for this purpose. Unlike existing works that primarily focus on languages with rich resources, this study addresses the challenge of translating a sign language… More >

  • Open Access

    ARTICLE

    Techno-Economic Optimization of Novel Stand-Alone Renewable Based Electric Vehicle Charging Station near Bahria Town Karachi, Sindh Pakistan

    Aneel Kumar1, Mahesh Kumar1, Amir Mahmood Soomro1, Laveet Kumar2,*

    Energy Engineering, Vol.121, No.6, pp. 1439-1457, 2024, DOI:10.32604/ee.2024.049977 - 21 May 2024

    Abstract Electric vehicles (EVs) are the most interesting and innovative technology in the 21st century because of their enormous advantages, both technically and economically. Their emissions rate compared to fuel-based vehicles is negligible as they do not consume fuel and hence do not emit any harmful gases. However, their bulk production, adoption and lack of charging stations increase the stress of power stations due to modern-day lifestyles. If Electric vehicles demand increases drastically then conventional power stations will not bear their demand and if they generate electricity by conventional means it will be very costly and… More >

  • Open Access

    ARTICLE

    Comparison of Self-Strength, Seeking Help and Happiness between Pakistani and Chinese Adolescents: A Positive Psychology Inquiry

    Umaira Tabbasam1, Amjad Islam Amjad2, Tariq Ahmed1, Xing Qiang1,*

    International Journal of Mental Health Promotion, Vol.25, No.3, pp. 389-402, 2023, DOI:10.32604/ijmhp.2023.024130 - 21 February 2023

    Abstract Adolescents’ emotions and preferences are influenced by their childhood experiences. In today’s world, there is a pervasive eagerness for happiness. Happiness has been linked to feelings of self-strength, seeking help, and psychological health. The current quantitative research was designed with a positive psychological perspective to compare Pakistani and Chines adolescents’ self-strength, seeking help, and happiness. The research design of the study was causal-comparative. The study population consisted of 400 Pakistani and 409 Chinese adolescents studying in the elementary grades of both countries. The sample was selected by using a simple random sampling technique. It consisted… More >

  • Open Access

    ARTICLE

    Discovering the Common Traits of Cybercrimes in Pakistan Using Associative Classification with Ant Colony Optimization

    Abdul Rauf1, Muhammad Asif Khan1,*, Hamid Hussain Awan2, Waseem Shahzad3, Najeeb Ul Husaan4

    Journal of Cyber Security, Vol.4, No.4, pp. 201-222, 2022, DOI:10.32604/jcs.2022.038791 - 10 August 2023

    Abstract In the modern world, law enforcement authorities are facing challenges due to the advanced technology used by criminals to commit crimes. Criminals follow specific patterns to carry out their crimes, which can be identified using machine learning and swarm intelligence approaches. This article proposes the use of the Ant Colony Optimization algorithm to create an associative classification of crime data, which can reveal potential relationships between different features and crime types. The experiments conducted in this research show that this approach can discover various associations among the features of crime data and the specific patterns More >

  • Open Access

    ARTICLE

    Improving Routine Immunization Coverage Through Optimally Designed Predictive Models

    Fareeha Sameen1, Abdul Momin Kazi2, Majida Kazmi1,*, Munir A Abbasi3, Saad Ahmed Qazi1,4, Lampros K Stergioulas3,5

    CMC-Computers, Materials & Continua, Vol.70, No.1, pp. 375-395, 2022, DOI:10.32604/cmc.2022.019167 - 07 September 2021

    Abstract Routine immunization (RI) of children is the most effective and timely public health intervention for decreasing child mortality rates around the globe. Pakistan being a low-and-middle-income-country (LMIC) has one of the highest child mortality rates in the world occurring mainly due to vaccine-preventable diseases (VPDs). For improving RI coverage, a critical need is to establish potential RI defaulters at an early stage, so that appropriate interventions can be targeted towards such population who are identified to be at risk of missing on their scheduled vaccine uptakes. In this paper, a machine learning (ML) based predictive… More >

  • Open Access

    ARTICLE

    Effect of Mental Health Problems on Academic Performance among University Students in Pakistan

    Shagufta Zada1,2, Yuefen Wang1,*, Muhammad Zada3,4, Fatima Gul1

    International Journal of Mental Health Promotion, Vol.23, No.3, pp. 395-408, 2021, DOI:10.32604/IJMHP.2021.015903 - 23 July 2021

    Abstract Scientific interest in student’s mental health experiences has been increasing in the last years due to their influence on students’ learning processes, academic performance, and recently, the suicidal news of a student at a private university due to her mental health condition in Lahore Punjab, Pakistan, captured public attention. That incident also shifted researchers and scholars’ attention on the much underexplored and tabooed sphere of the broader public health domain. Hence, the current study aimed to explore the relationship between mental health problems and Pakistani university students’ academic performance. Participants were 540 senior semester students… More >

  • Open Access

    ARTICLE

    Classification and Categorization of COVID-19 Outbreak in Pakistan

    Amber Ayoub1, Kainaat Mahboob1, Abdul Rehman Javed2, Muhammad Rizwan1, Thippa Reddy Gadekallu2, Mustufa Haider Abidi3,*, Mohammed Alkahtani4,5

    CMC-Computers, Materials & Continua, Vol.69, No.1, pp. 1253-1269, 2021, DOI:10.32604/cmc.2021.015655 - 04 June 2021

    Abstract Coronavirus is a potentially fatal disease that normally occurs in mammals and birds. Generally, in humans, the virus spreads through aerial droplets of any type of fluid secreted from the body of an infected person. Coronavirus is a family of viruses that is more lethal than other unpremeditated viruses. In December 2019, a new variant, i.e., a novel coronavirus (COVID-19) developed in Wuhan province, China. Since January 23, 2020, the number of infected individuals has increased rapidly, affecting the health and economies of many countries, including Pakistan. The objective of this research is to provide More >

  • Open Access

    ARTICLE

    Analysis and Forecasting COVID-19 Outbreak in Pakistan Using Decomposition and Ensemble Model

    Xiaoli Qiang1, Muhammad Aamir2,*, Muhammad Naeem2, Shaukat Ali3, Adnan Aslam4, Zehui Shao1

    CMC-Computers, Materials & Continua, Vol.68, No.1, pp. 841-856, 2021, DOI:10.32604/cmc.2021.012540 - 22 March 2021

    Abstract COVID-19 has caused severe health complications and produced a substantial adverse economic impact around the world. Forecasting the trend of COVID-19 infections could help in executing policies to effectively reduce the number of new cases. In this study, we apply the decomposition and ensemble model to forecast COVID-19 confirmed cases, deaths, and recoveries in Pakistan for the upcoming month until the end of July. For the decomposition of data, the Ensemble Empirical Mode Decomposition (EEMD) technique is applied. EEMD decomposes the data into small components, called Intrinsic Mode Functions (IMFs). For individual IMFs modelling, we… More >

  • Open Access

    ARTICLE

    Modeling COVID-19 Pandemic Dynamics in Two Asian Countries

    Jin Zhao1, Zubair Ahmad2,*, Zahra Almaspoor2, M. El-Morshedy3,4, Ahmed Z. Afify5

    CMC-Computers, Materials & Continua, Vol.67, No.1, pp. 965-977, 2021, DOI:10.32604/cmc.2021.014553 - 12 January 2021

    Abstract The current epidemic outbreak COVID-19 first took place in the Wuhan city of China and then spread worldwide. This deadly disease affected millions of people and compelled the governments and other concerned institutions to take serious actions. Around 0.28 million people have died from the COVID-19 outbreak as of May 11, 2020, 05:41 GMT, and the number is still increasing exponentially. The results of any scientific investigation of this phenomenon are still to come. However, now it is urgently needed to evaluate and compare the disease dynamics to improve the quarantine activities and the level… More >

  • Open Access

    ARTICLE

    Analysis of Factors that Affect Government Digitization: A Pilot Case Study of Pakistan

    Salman Ahmed*, Muhammad Ali Khan

    CMC-Computers, Materials & Continua, Vol.66, No.1, pp. 291-301, 2021, DOI:10.32604/cmc.2020.012066 - 30 October 2020

    Abstract One of the greatest factors that affects the economic condition of a country is its institutions. In the model of good governance, the primary elements for stronger institution include efficiency, transparency, and accountability; and technology plays a major role in improving these elements. However, there are myriad of challenges when it comes to practical integration of technology in these institutions for efficiency. It is more challenging when a country is developing and one that is already weak economically. It is also important to mention that the challenges of digitization in public sector is not limited… More >

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