Natural & Applied Sciences

Natural & Applied Sciences Research Papers/Topics

Deep Learning Methods For Filter Extraction

ABSTRACT With the exponential growth of the information technology, nowadays tremendous amounts of data including images, audio, text and videos, up to millions or billions, are collected for training machine learning models. Deep neural networks (DNNs) are one of the widely used methods today. Large companies in the uses these methods to recommends buyers with products, filter junk email or text-based hate speeches, understand and translate major languages in real time, and so on. Inspired ...

Applying Deep Learning Methods For Short Text Analysis In Disease Control

ABSTRACT Developing countries have been plagued by recurrent cases of infectious disease outbreaks; coupled with the limitation of traditional disease control strategies, other approaches have been explored for disease control, with social media at the forefront. Data from this source is short, noisy, and informal in representation, thus, conventional natural language processing (NLP) methods are not well adapted for their structure. Hence, deep learning approaches for character-level word v...

A Data Driven Anomaly Based Behavior Detection Method For Advanced Persistent Threats (Apt)

 Background of the study With the rapid development of computer networks, new and sophisticated types of attacks have emerged which require novel and more sophisticated defense mechanisms. Advanced Persistent Threats (APTs) are one of the most fast-growing cyber security threats that organizations face today [12]. They are carried out by knowledgeable, very skilled and well-funded hackers, targeting sensitive information from specific organizations. The objective of an APT attack is to stea...

Aeropalynology And Allergenicity Of Pollen In Selected Locations Within Lagos Metropolis, Nigeria

ABSTRACT Airborne pollen grains and fern spores (aeroflora) are some of the major causative agents of allergies. However, data gathering on composition and distribution of these aeroflora across Nigeria is incipient. The aim of this study is to monitor the aeroflora in Lagos metropolis and determine the allergenicity of dominant aeroflora. To achieve this, aerosampling was done in Surulere, Ebute-Metta, University of Lagos, Akoka (UNILAG), Bariga and Gbagada. Aerosamples were collected and a...

Investigating Conditions That Modulate Pyrazinamide Susceptibility in Mycobacterium Tuberculosis

ABSTRACT Tuberculosis (TB) remains one of the major life-threatening infectious diseases of public health concern globally. Its treatment is long and complex, requiring a cocktail of four drugs administered for six months. Pyrazinamide (PZA) is a cornerstone drug in the treatment regimen for tuberculosis that has contributed to reducing the treatment time from nine to six months. PZA is a pro-drug that is converted to its active form, pyrazines acid (POA) by the bacterial enzyme nicotinamida...

Acute Toxicity Of Agrochemicals And Detergent On Tadpoles Of The Common African Toad, Amietophrynus Regularis

ABSTRACT Changing urban ecology has increasingly put amphibians living in swampy portions of coastal city centres in constant threat of mortality resulting from acute toxicity effects.

Access To Portable Domestic Water In The Rural Communities Of Southwestern Anambra State Nigeria

ABSTRACT Fresh water especially from domestic consumption is a crucial resource for life sustenance on earth.

The Relationship Between Incoming Solar Radiation And Daily Air Temperature

ABSTRACT Solar radiation is the ultimate source of energy for the planet. To predict the values of temperature and instant solar radiation when equipment are not readily available from obtained equations, a good knowledge and understanding of the disposition and distribution of solar radiation is a requirement for modelling earth’s weather and climate change variables. A pyranometer (CM3) in series with a PHYWE amplifier and a voltmeter were experimentally set up and used to study the amou...

About Crawling Scheduling Problems

Abstract This paper investigates the task of scheduling jobs across several servers in a software system similar to the Enterprise Desktop Grid. One of the features of this system is that it has a specific area of action – collects outbound hyperlinks for a given set of websites. The target set is scanned continuously (and regularly) at certain time intervals. Data obtained from previous scans are used to construct the next scanning task for the purpose of enhancing efficiency (shortening ...

Algorithms For Approximation Of Solutions Of Equations Involving Nonlinear Monotone-Type And Multi-Valued Mappings

ABSTRACT It is well know that many physically significant problems in different areas of research can be transformed into an equation of the form Au = 0, (0.0.1) where A is a nonlinear monotone operator from a real Banach space E into its dual E∗ . For instance, in optimization, if f : E −→ R ∪ {+∞} is a convex, Gˆateaux differentiable function and x ∗ is a minimizer of f, then f 0 (x ∗ ) = 0. This gives a criterion for obtaining a minimizer of f explicitly. However, most of th...

Statistical Modelling of Performance of Teacher Education at Distance And Regular Modes

ABSTRACT This research looked at “Statistically Modeling Performance of pre-service teachers” by finding the differences in performance and perceptions if any, between students in the regular and distance modes of teacher education in university of Cape Coast. Pre-service teachers of Accra College of Education and the College of “Distance Education” at Papafio hills, both of university of Cape Coast were used as the population of the research. Students who were admitted in the year 2...

Enhancing Prediction Accuracy Of A Multi-Criteria Recommender System Using Adaptive Genetic Algorithm

ABSTRACT Recommender systems are powerful intelligent systems considered to be the solution to the problems of information overload. They provide users with personalized lists of recommended items, using some machine learning techniques. Traditionally, existing recommender systems have used single rating techniques to estimate users' opinions on items. Because user preferences might depend on the attributes of several items, the efficiency of traditional single-rating recommender systems is ...

Weak And Strong Convergence Theorems For Nonspreading Type Mapping In A Hilbert Spaces

ABSTRACT The work of Osilike and Isiogugu, Nonlinear Analysis, 74 (2011), 1814-1822 on weak and strong convergence theorems for a new class of k-strictly pseudononspreading mappings in real Hilbert spaces is reviewed. We studied in detail this new class of mappings which is more general than the class of nonspreading mappings studied by Kurokawa and Takahashi, Nonlinear Analysis 73 (2010) 1562-1568. Many incisive examples establishing the relationship of the class of k-strictly pseudononspre...

Theoretical Study Of Current-Induced Dynamics Of An Antiferromagnetic Skyrmionium

ABSTRACT In this thesis, we present a theoretical study on the current-induced nucleation and propagation of antiferromagnetic skyrmionium. A skyrmionium, also known as 2π-skyrmion, is a vortex-like magnetic structure characterized by zero topological charge. We show by means of micro-magnetic simulation that an antiferromagnetic skyrmionium can be nucleated via a local injection of spin current with toroidal distribution. Our systematic study of the current-induced dynamics shows that a sp...

Effects Of Teaching Methods, Gender And School Location On The Performance Of Secondary School Students In Mathematic: In Kano State

ABSTRACT This study was carried out to investigate the effects of teaching methods (Discovery and lecture method), gender and school location on the performance of secondary school students in mathematics. A proportionate random sample of 356 senior secondary students was drawn from 20 secondary schools from Kano central senatorial zone using Morgan and Krejcie (1970) table for determining sample size. The sample was drawn from urban/rural dichotomy and gender wise. The sampled students were...


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