iosr-jmca   Volume-11 ~ Issue-6 ~ Nov.-Dec. 2024

ABSTRACT: Word Sense Disambiguation (WSD) is a critical task in Natural Language Processing (NLP) that focuses on identifying the correct meaning of ambiguous words in a given context. This paper presents a comprehensive survey and comparative analysis of traditional and deep learning approaches to WSD. Traditional methods, including knowledge-based and statistical models, are evaluated alongside deep learning techniques, such as neural networks and transformers, using performance metrics like accuracy, precision, and recall on established datasets. Additionally, this study will also review existing evaluation metrics to better capture the variations of the WSD system. The findings aim to enhance the understanding of WSD techniques and their implications for advancing NLP applications.

[1] Agirre, Eneko, And Philip Edmonds. Word Sense Disambiguation: Algorithms And Applications. Springer, 2006.
[2] Navigli, Roberto. "Word Sense Disambiguation: A Survey." Acm Computing Surveys, Vol. 41, No. 2, 2009, Pp. 10:1-10:69,
Https://Doi.Org/10.1145/1459352.1459355.
[3] Mikolov, Tomas, Kai Chen, Greg Corrado, And Jeffrey Dean. "Efficient Estimation Of Word Representations In Vector Space." Arxiv Preprint, Arxiv:1301.3781, 2013.
[4] Devlin, Jacob, Ming-Wei Chang, Kenton Lee, And Kristina Toutanova. "Bert: Pre-Training Of Deep Bidirectional Transformers For Language Understanding." Arxiv Preprint, Arxiv:1810.04805, 2018.
[5] Jurafsky, Daniel, And James H. Martin. Speech And Language Processing. 3rd Ed., Draft Online Version, Https://Web.Stanford.Edu/~Jurafsky/Slp3/.

ABSTRACT: Purpose: In this study; the author explains and shows the importance of selection and extraction the technical features of Smartphones' apps regarding sleep-monitoring and sleep-analysis, and the technical features' selection and extraction impact on simplifying the features classification based on the most important sleep disorders screening and diagnosis symptoms. Methods: by taking........

Keywords— sleep analysis, sleep apps, sleep monitoring, sleep disorder screening, sleep statistics, technical features

[1] Adams, RJ, Et Al. Sleep Health Of Australian Adults In 2016: Results, Of The 2016 Sleep Health Foundation National Survey, Sleep Health 2017 Feb;3(1):35-42. [Doi: 10.1016/J.Sleh.2016.11.005], [Medline: 28346149] Mobile Fact Sheet. Pew Research Center. 2021. URL: Https://Www.Pewresearch.Org/Internet/Fact-Sheet/Mobile/
[2] Adrian, A, Et Al. Overview Of Smartphone Applications For Sleep Analysis, World Journal Of
[3] Aji, A, Et Al. Framework For The Design Engineering And Clinical Implementation And Evaluation Of Mhealth Apps For Sleep Disturbance: Systematic Review, PMID: 33595441 PMCID: PMC7929739 [Doi: 10.2196/24607], URL:
[4] Akbari, A, Et Al. Personalizing activity recognition models with quantifying different types of uncertainty using wearable sensors. IEEE Transactions on Biomedical Engineering, [Accessed 07-05-2024]
[5] Al Mahmud, A, Et Al. A Scoping Review Of Mobile Apps For Sleep Management: User Needs And Design Considerations. Front. Psychiatry, 18 October 2022, Sec. Sleep Disorders, Volume 13 - 2022 URL:

ABSTRACT: This study focused on the relationship between farm size and technical efficiency using stochastic production approach. Well-structured questionnaire was allotted to 120 maize farmers and analyzed using descriptive statistics, stochastic production frontier and Tobit regression. Stochasticproductionfrontieranalysisshowsthatthe meantechnicalefficiency oftherespondents is0.75.Theanalysisalsoshowed that farming year experience, Mechanization and Pesticide quantity affects technical efficiency of farmers negatively while Years of formal education and Fertilizer quantity affect technical efficiency positively. The study shows that there is a positive relationship......

Keywords— Technical efficiency, Farm size, Stochastic Production Frontier, Tobit Regression

[1]. Abdullahi B., Musa A., Idi A., and Adamu J. (2018). Socio-Demographic Determinants of Adewuyi, S.A., Agbonlahor, M.U., Oke, A.T., "Technical efficiency analysis of cassava farmers in Ogun State, Nigeria. IJAFS 4, 2013, 14; 515-522
[2]. Agboola W.L., (2016).," Land management Practises and Technical efficiency of Food crop farmers in North central Nigeria: A data Envelopment Analysis (DEA) Approach. Asian Journal of Agricultural Extenxion, Economics and Sociology 10(2):1-10,2016:
[3]. Agricultural Transformation Agenda (2011): We will grow Nigeria's Agricultural sector, Agricultural transformation Blueprint. Fed. Ministry of Agriculture and rural Development, Abuja, Nigeria
[4]. Anupama J, Singh RP, Ranjit K (2005). Technical efficiency in maize production in Madhya Pradesh: Estimation and implications. Agric.Econs.Res.Rev. 18:305-315
[5]. Apata, T.G., Folayan, A, APata, O.M (2011): The economic role of Nigeria's Subsistence Agriculture in the Transition Process: Implications For Rural Development. Department of Agricultural Economics and Extension services, Joseph Ayo Babalola University, IkejiArakeji, PMB 5006 Ilesa, Nigeria

ABSTRACT: Nigerians are very concerned about the growing rate of building collapses as well as the lack of strong roads and bridges in the country. The quality of cement in Nigeria has received a lot of attention; therefore, it is a significant concern in this study. To prevent such depressing incidents in Nigeria, cement production businesses must be properly supervised and counseled on the quantity of raw materials utilized in the production process and the appropriate quality level of cement production. This study examines the quality control of cement produced by.......

Keywords— Control Chart, Statistical Quality Control, Cluster Sampling,

[1]. Akpeiyi, J.J. (1996). Total Quality Management; A Tool for Organizational Excellence, Management in Nigeria. Vol.32, No.1.
[2]. Bendell, T (1992). The Quality Gurus London, Department of Trade and Industry.
[3]. Bounds G et al (1994). Beyond Total Quality Management; Towards this Emerging Paradigm. New York, McGraw Hill Inc.
[4]. Darreu Leetham (2015). The Cement Manufacturing Process.
[5]. International Merchant Bank Limited (1994). Total Quality Management and Training Workshop.
[6]. Liberty Bank Plc (2001). Total Quality Management Workshop Training.

ABSTRACT: Research is a determinantfor global impact, and societal development revolves around quality research. The hub of institutional development is based on the fundamental principle of synergetic state of collaboration of sound research tied to industryand other area of human endeavours which has a clear cut of supervise regulations. Sub-Saharan Africais considered to be a developing region and its role in the development of infrastructures and other critical infrastructures has been engendered in the past due to none-synergetic state of research collaboration.......

Keywords— Clustering, google scholar, Sub-Saharan, Africa, Density-Based, Analysis, Research

[1]. Rajasekar, S., Philominathan, P., and Chinnathambi, V. (2013). Research methodology. eprint. arXiv preprint physics/0601009, 1-53.
[2]. Çaparlar, C. Ö., and Dönmez, A. (2016). What is scientific research and how can it be done?.Turkish journal of anaesthesiology and reanimation, 44(4), 212.
[3]. Adams, J., Gurney, K., Hook, D., and Leydesdorff, L. (2014). International collaboration clusters in Africa. Scientometrics, 98(1), 547-556
[4]. Jeong, S., Choi, J. Y., and Kim, J. Y. (2014). On the drivers of international collaboration: The impact of informal communication, motivation, and research resources. Science and Public Policy, 41(4), 520-531.
[5]. Leydesdorff, L., Park, H. W., and Wagner, C. (2014). International coauthorship relations in the Social Sciences Citation Index: Is internationalization leading the Network?.Journal of the Association for Information Science and Technology, 65(10), 2111-2126

ABSTRACT: Background: A Thesis or final project is a requirement for graduation from a bachelor's degree student of the university. The thesis is a final course that must be completed by students of private universities or state universities so that they are considered worthy of a bachelor's degree.Building an information system that is collected in a container called the Mobile Web-Based Final project Monitoring Information System to facilitate lecturers and students in implementing and monitoring students' final projects, so that the history of the guidance process and students' activities can be recorded in detail, precisely and accurately.The location of the research.....

Keywords— Monitoring; Final project; Mobile Web.

[1]. Aditya, Alan Nur, 2011, Good at PHP & MySQL in Counts Minutes, Jakarta: Computer World
[2]. Bambang Hariyanto, 2005, The Essences of Programming Languages JAVA, informatics, Bandung
[3]. Budi Sutedjo Dharma Oetomo, 2006, Planning and System Development Information, Andi, Yogyakarta
[4]. Bafadal, Ibrahim, 2011, Management Library School, Jakarta: Bumi characters.
[5]. Handoko, T. Hani, 1995, Management. BPFE: Yogyakarta.

ABSTRACT: This study evaluates the effectiveness of a diagnostic application for Autism Spectrum Disorder (ASD) implemented at the Al-Bayda Autism Center. The app was integrated into the diagnostic process and compared against traditional expert assessments. Results highlighted a higher prevalence of ASD in males than females, consistent with a 4:1 ratio reported in prior research, though influenced by diagnostic criteria and potential underdiagnosis in females. A dataset of 15 cases provided detailed comparisons between app-based diagnoses and those of specialists.....

Keywords— Autism, Spectrum, Disorder, Mobile, Applications, di.

[1]. Essa, M. M., & Qoronfleh, M. W. (Eds.). (2020). Personalized food intervention and therapy for autism spectrum disorder management (Vol. 24). Springer Nature.
[2]. American Psychiatric Association, D. S. M. T. F., & American Psychiatric Association. (2013). Diagnostic and statistical manual of mental disorders: DSM-5 (Vol. 5, No. 5). Washington, DC: American psychiatric association.
[3]. Lord, C., Elsabbagh, M., Baird, G., & Veenstra-Vanderweele, J. (2018). Autism spectrum disorder. The lancet, 392(10146), 508-520.
[4]. Matson, J. L. (2007). Current status of differential diagnosis for children with autism spectrum disorders. Research in developmental disabilities, 28(2), 109-118.
[5]. Dababnah, S., Parish, S. L., Brown, L. T., & Hooper, S. R. (2011). Early screening for autism spectrum disorders: A primer for social work practice. Children and Youth Services Review, 33(2), 265-273

ABSTRACT: The digitalization of law enforcement records and the transition of CJIS to the cloud-native environment have introduced substantial vulnerabilities to traditional, perimeter-based security models. Cybersecurity attacks have also evolved toward complex lateral movement and credential-based attacks, and the "castle-and-moat" approach can no longer effectively secure sensitive national security information. This paper presents a unique Zero-Trust Artificial Intelligence (AI-ZTA) security architecture designed for the CJIS ecosystem. The cornerstone of this architecture is the Adaptive National Trust Score (ANTS) algorithm, utilizing telemetry and behavioral biometrics for constant, real-time authentication and authorization.....

Keywords— Zero-Trust Architecture, Artificial Intelligence, CJIS Security, Behavioral Biometrics, Adaptive Trust Scoring, Cybersecurity.

[1]. Alahi, M. E. E., Sukkuea, A., Tina, F. W., Nag, A., Kurdthongmee, W., Suwannarat, K., & Mukhopadhyay, S. C… (2023). Integration of IoT-Enabled Technologies and Artificial Intelligence (AI) for Smart City Scenario: Recent Advancements and Future Trends. Sensors. https://doi.org/10.3390/s23115206
[2]. Aldoseri, A., Al‐Khalifa, K. N., & Hamouda, A… (2023). Re-Thinking Data Strategy and Integration for Artificial Intelligence: Concepts, Opportunities, and Challenges. Applied Sciences. https://doi.org/10.3390/app13127082
[3]. Ali, O., Abdelbaki, W., Shrestha, A., Elbaşı, E., Alryalat, M. A. A., & Dwivedi, Y. K… (2023). A systematic literature review of artificial intelligence in the healthcare sector: Benefits, challenges, methodologies, and functionalities. Journal of Innovation & Knowledge. https://doi.org/10.1016/j.jik.2023.100333
[4]. Ali, S., Abuhmed, T., El–Sappagh, S., Muhammad, K., Alonso, J. M., Confalonieri, R., Guidotti, R., Ser, J. D., Díaz-Rodríguez, N., & Herrera, F… (2023). Explainable Artificial Intelligence (XAI): What we know and what is left to attain Trustworthy Artificial Intelligence. Information Fusion. https://doi.org/10.1016/j.inffus.2023.101805
[5]. Aljohani, A… (2023). Zero-Trust Architecture: Implementing and Evaluating Security Measures in Modern Enterprise Networks. Shifra… https://doi.org/10.70470/shifra/2023/008