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Efficient Ensemble-based Phishing Website Classification Models using Feature Importance Attribute Selection and Hyper parameter Tuning Approaches
Get PDFThe internet is now a common place for different business, scientific and educational activities. However, there are bad elements in the internet space that keep using different attack techniques to perpetrate evils. Among these categories are people who use phishing techniques to launch attacks in the enterprise networks and internet space. The use of machine learning (ML) approaches for phishing attacks classification is an active research area in the field of cyber security. This is because phishing attack detection is a good example of intrusion identification tasks. These machine learning techniques can be categorized as single and ensemble learners. Ensemble learners have been identified to be more promising than the single classifiers. However, some of the ways to achieve an improved ML-based detection models are through feature selection/dimensionality reduction as well as hyper parameter tuning. This study focuses on the classification of phishing websites using ensemble learning algorithms. Random Forest (RF) and Extra Trees ensembles were used for the phishing classification. The models built from the algorithms are optimized by applying a feature importance attribute selection and hyper parameter tuning approaches. The RF-based phishing classification model achieved 99.3% accuracy, 0.996 recall, 0.983 f1-score, 0.996 precision and 1.000 as AUC score. Similarly, Extra Trees-based model attained 99.1% accuracy, 0.990 as recall, F1-score was 0.981, precision of 0.990 while AUC score is 1.000. Thus, the RF-based phishing classification model slightly achieved better classification results when compared with the Extra Trees own. The study concluded that attribute selection and hyper parameter tuning approaches employed are very promising
Frame-based System for Diagnosing Infertility in Males and Females
Get PDFDiagnosis plays a crucial role in saving the life of a patient. However, due to the challenges faced by medical practitioners such as; few available resources, little amount of time dedicated to diagnose each patient, few numbers of specialists, emergence of new diseases and similarities of symptoms of diseases may hinder achieving accurate diagnosis. Infertility may be caused by a range of medical condition and abnormalities such as diseases, infections and hormonal imbalances in the reproductive system. The prevalence of infertility has negatively affected many couples globally especially in Africa where it is often linked with different traditional superstition in some societies. This led to the need for the development of systems capable of predicting and diagnosing diseases. In this research work, the expert System developed employs the frame-based approach to assess and predict the possible infertility problem that a patient may have based on the symptoms and patient information provided into the system. Outcomes of diagnosis presented to users solely depend on reasoning method implemented in the knowledge base of the system. The system showed an excellent predictive ability of 98% when scoring based on accuracy. It was evaluated on fifty (50) randomly selected infertility cases from the case file of patients. The system was able to effectively predict forty nine (49) infertility cases correctly and one (1) incorrectly. From the study, it is concluded that the frame-based system will assist not only medical practitioners but also individuals affected in achieving timely diagnosis since it can be accessed remotely. Furthermore, the system has the ability to store health records, diagnosis and generate statistical reports of patients.
 
Effective Methods of Teaching Foreign Languages Online: A Global View
Get PDFForeign language acquisition has been a key issue in the field of language education. In recent years, the integration of Artificial Intelligence (AI) into language learning has brought about a transformative shift in the teaching and acquisition of the English language. This article delves into the tasks associated with implementing these actions and provides recommendations that form the methodological foundation for cultivating linguistic personalities in ELT. The research is dedicated to the analysis of prevalent and frequently employed methods and competency-based approaches to online foreign language instruction, grounded in both national and international experiences, illuminating the progress made in this burgeoning field. This comprehensive review of effective strategies for teaching foreign languages in the context of distance online learning offers valuable insights into contemporary language teaching
A Method to solve ordinary fractional differential equations using Elzaki and Sumudu transform
Get PDFThe main objective of the paper is to solve ordinary fractional differential equations using Elzaki and Sumudu transform. Moreover some ordinary fractional differential equations are solved by using the presented method. Using different types of fractional differential operators existing methods have been extended and applied for ordinary fractional differential equations
Beta-Fractional Calculus on Time Scales
Get PDFIn this paper, we define and study beta fractional derivative and integral on time scale. Many basic properties of beta fractional derivative and integral will be obtained
Non-Performing Loans Effects on Profitability and Lending Behavior of Commercial Banks: Empirical evidence
Get PDFThis study aimed to examine the effects of non-performing loans on the profitability and lending behavior of commercial banks in Yemen. The study used a descriptive-analytical approach. The data of the study were obtained from the annual financial reports (2010 -2018) of 6 commercial banks operating in Yemen. A panel data model was used in this study. The independent variable of the study was non-performing loans as measured by non-performing loans to total loans and advances ratio (NPLS) while the dependent variables of the study were profitability (ROA and ROE) and lending behavior as measured by loans and advances growth (LAG) of the commercial banks in Yemen. To test the hypotheses of the study, regression analysis was used. The results of the study showed that there is a positive and significant effect of the non-performing loans ratio (NPLs) on the return on equity (ROE) of commercial banks in Yemen. Whereas the study found no effect of (NPLs) on the return on assets (ROA) and loans and advances growth (LAG) of commercial banks in Yemen
The Impact of Foreign Direct Investment on Nigerian Economic Growth
Get PDFThis study examined the impact of FDI on Nigerian economic growth during the period 1999-2020, the research uses both primary and secondary sources of data. The primary data was gotten from the interviewees of Nigerian ministry of trade and finance while the secondary data was mainly sourced from the World Bank indicator. The objectives of this work are to examine the influence of FDI on economic growth of Nigeria, to investigate the effect of governance on the economic growth of Nigeria and to understand the effect of domestic investment of Nigerian economic growth. The variables used are FDI, economic growth, governance and domestic investment. The findings of this research disclose that FDI positively affect Nigerian EG during the period of study especially from 2018 to 2020. It also revealed that, it is the kind of natural resources which the country has that attracted FDI into the country. As the findings suggest, it is necessary for Nigeria to entice FDI so as to boost its economic growth. The research suggest that there is need for government to enhance the FDIs environment so as to take the benefit of the latest international interest in the event of Nigeria by applying strong macroeconomic strategies, refining the investment climate, encouraging innovations, establishing a transparent legal system which will not favor local investor from international investor, improving good and quality infrastructure and lastly the government should implement strategies which would make FDI to become so attractive in investing into the country
On Equivalence of the ap-Sequential Henstock and ap-Sequential Topological Henstock Integrals: Equivalence of the ap-Sequential Henstock and ap-Sequential Topological Henstock Integrals
No full textLet be a topological space and . Suppose is a function defined in a complete space and is a vector in taking values in . Suppose is ap-Sequential Henstock integrable with respect to , is ap-Sequential Topological Henstock integrable with respect to ? It is the purpose of this paper to proffer affirmative answer to this question
Neg-raising, IP-internal topic and focus phrases and the structure of the Awing SOV clause
Get PDFEver since Kayne (1994) which argues that the universal word order in a phrase is Head-Complement, many studies had proliferated in support of the LCA. Basically, at the level of the clause, many languages exhibit the SVO pattern but there are languages which display distorted word order among which the SOV. The Awing language has both orders and there are determined on the basis of the opposition positive versus negative clause. This paper examines the derivation of the Awing SOV structure and argues that this derivation involves basic movements such head and A- movements (Chomsky 1995) in addition to remnant and heavy pied-ping. It also proposes a reanalysis of the landing site of the raised remnant VP and argues (in contradiction to Nyomy (2019) who posits that the position of the raised VP is spec, AgrOP) that the raised remnant VP lands in spec, TopP (an IP-internal left periphery position as posited by Jayaseelan (2001))
ESL Lecturers’ Adaptation to the New-Norm of Online Teaching in Malaysia
Get PDFSince March 2020 in Malaysia, tertiary educational sectors have been forced to shift to online classrooms under the Movement Control Order (MCO). The abrupt change to online learning has affected educators’ style of teaching and in navigating themselves for online classrooms. This study aimed to investigate ESL lecturers’ adaptation to online teaching and learning during the outbreak of COVID-19 in Malaysia. This paper adopted a case-study approach with four lecturers were interviewed. The findings of this study indicate that lecturers use online platforms such as Google Meet, Zoom. Additional applications such as Kahoot, Quizizz and Padlets are also used to reinforce students’ English skills. Additionally, issues on the effectiveness of online learning such as Internet connectivity, the paradigm shift from traditional to online classrooms are highlighted by the participants. The findings also highlighted other factors, such as understanding motivational strategies, language learner’s needs, and Sociocultural factors. This paper provides ramifications of online learning such as incentive, laptop rental, and mastering the applications of technology in education