Abdul Rauf¹, Muhammad Asif Khan^1,*, 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

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 that major crime types depend… More >

Umaira Tabbasam¹, Amjad Islam Amjad², Tariq Ahmed¹, Xing Qiang^1,*

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

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 of 413 boys (51%) and… More >

Fareeha Sameen¹, Abdul Momin Kazi², Majida Kazmi^1,*, Munir A Abbasi³, Saad Ahmed Qazi^1,4, Lampros K Stergioulas^3,5

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

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 model has been proposed to… More >

Shagufta Zada^1,2, Yuefen Wang^1,*, Muhammad Zada^3,4, Fatima Gul¹

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

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 within the age range of… More >

Amber Ayoub¹, Kainaat Mahboob¹, Abdul Rehman Javed², Muhammad Rizwan¹, Thippa Reddy Gadekallu², Mustufa Haider Abidi^3,*, Mohammed Alkahtani^4,5

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

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 a system to classify and… More >

Xiaoli Qiang¹, Muhammad Aamir^2,*, 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

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 use the Autoregressive Integrated Moving… More >

Jin Zhao¹, Zubair Ahmad^2,*, Zahra Almaspoor², M. El-Morshedy^3,4, Ahmed Z. Afify⁵

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

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 of individual protection, to at… More >

Salman Ahmed^*, Muhammad Ali Khan

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

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 to developing countries only. It… More >

Muhammad Altaf Khan^1,*, Khanadan Khan², Mohammad A. Safi³, Mahmoud H. DarAssi⁴

CMES-Computer Modeling in Engineering & Sciences, Vol.123, No.2, pp. 777-795, 2020, DOI:10.32604/cmes.2020.08208

Abstract The present paper investigates the theoretical analysis of the tuberculosis (TB) model in the discrete-time case. The model is parameterized by the TB infection cases in the Pakistani province of Khyber Pakhtunkhwa between 2002 and 2017. The model is parameterized and the basic reproduction number is obtained and it is found R₀ ¼ 1:5853. The stability analysis for the model is presented and it is shown that the discrete-time tuberculosis model is stable at the disease-free equilibrium whenever R₀ < 1 and further we establish the results for the endemic equilibria and prove that the model is globally asymptotically stable… More >

Maria Khizar¹, Urooj Haroon¹, Musrat Ali¹, Samiah Arif², Iftikhar Hussain Shah² , Hassan Javed Chaudhary¹, Muhammad Farooq Hussain Munis^1,*

Phyton-International Journal of Experimental Botany, Vol.89, No.1, pp. 103-109, 2020, DOI:10.32604/phyton.2020.08010

Abstract Cotton (Gossypium hirsutum L.) is a key fiber crop of great commercial importance. Numerous phytopathogens decimate crop production by causing various diseases. During July-August 2018, leaf spot symptoms were recurrently observed on cotton leaves in Rahim Yar Khan, Pakistan and adjacent areas. Infected leaf samples were collected and plated on potato dextrose agar (PDA) media. Causal agent of cotton leaf spot was isolated, characterized and identified as Aspergillus tubingensis based on morphological and microscopic observations. Conclusive identification of pathogen was done on the comparative molecular analysis of CaM and β-tubulin gene sequences. BLAST analysis of both sequenced genes showed 99%… More >