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Now showing items 1-14 of 14

3D IMAGE ACQUIRING TECHNIQUE WITH IMPROVED ACCURACY

Kamal, Nasr Enroll # 02-241171-005 (Bahria University Karachi Campus, 2020)

Thisthesis proposed aThree Dimensional (3D) image acquiring technique with improved accuracy 3D model ofsmall high precision machine parts (stud mounted device) and presents to recreate a a detailed Literature Review ...
ANALYZING EFFECTS OF RESOURCE DISTRIBUTION ON PERFORMANCE OF FOG INFRASTRUCTURE

Jamil, Sara Enroll # 02-241182-001 (Bahria University Karachi Campus, 2020)
DATA ANOMALY DETECTION IN MARITIME TRAFFIC MANAGEMENT USING DEEP LEARNING

Mashood, Ramsha Enroll # 02-241191-015 (Bahria University Karachi Campus, 2021)

Pandemics and the current world situation affected overall world business. The maritime industry currently depends on different vessel management systems that use Automatic Identification System (AIS) messages to manage ...
HANDWRITTEN CHARACTER RECOGNITION USING CUSTOMIZED, SEQUENTIAL CONVOLUTIONAL NEURAL NETWORK

Humayun, Muniba Enroll # 02-241181-004 (Bahria University Karachi Campus, 2020)

Handwritten character recognition is a field that falls under the domain of image recognition. It has been under research for years. The main purpose of handwritten character recognition is to recognize characters written ...
IMPACT OF FEATURES ON MACHINE LEARNING BASED INTRUSION DETECTION SYSTEMS

Fatima, Masooma Enroll # 02-241172-009 (Bahria University Karachi Campus, 2020)

As the use of the Internet is increasing day-by-day, cyber-attacks over user’s personal data and network resources are also increasing. Cyber-attacks are becoming quite common, especially distributed denial-of-service ...
IMPROVING THE DISCRIMINATION ACCURACY RATE OF FLASH EVENTS AND DDOS ATTACKS

Agha, Sahareesh Enroll # 02-241172-002 (Bahria University Karachi Campus, 2020)

In our modem age oftechnologies, Distributed Denial ofService (DDoS) attacks the most common type of cyber-attacks in communication networks. This is due to the availability of open source and freeware tools. The purpose ...
AN INTELLIGENT INQUIRY BASED LEARNING ENVIRONMENT USING ONTOLOGY DRIVEN APPROACH

Bukhari, Syed Ahmed Hassan (Bahria University Karachi Campus, 2019)

Inquiry based learning (IBL) has different inquiry levels that can lead to different results in a given topic ofinterest at any education level. IBL is a pedagogical approach in which the learners goes through self ...
IOT ENABLED GROCERY SHOPPING RECOMMENDATION SYSTEM USING MACHINE LEARNING TECHNIQUE

Tauseef, Muhammad Enroll # 02-241181-001 (Bahria University Karachi Campus, 2020)

Recommender System are data is growing rapidly therefore these Information solutions could be capable other recommendations to facilitate the because our works on the existing data pattern and predict some still looking ...
A LIGHT-WEIGHT SCADA TESTBED FOR MACHINE-LEARNING BASED CYBER-SECURITY EXPERIMENTS

Khan, Mohsin Enroll # 02-241171-001 (Bahria University Karachi Campus, 2020)

A rapid rise in cyber-attacks on Cyber Physical Systems (CPS) has been observed in the last decade. It becomes even more concerning that many ofthese attacks were on critical infrastructures, where some ofthem indeed ...
MIND SPELLER: BCI HYBRID SPELLER USING EEG

Mustafa, Imran Reg # 14630 (Bahria University Karachi Campus, 2016)

Computer aided systems are key communication channels between disable and healthy person. Brain computer interface enable user to communicate through brain signals. Locked-in syndrome is a state in which a person unable ...
A NEURAL NETWORK APPROACH FOR INTELLIGENT COMPETENT BASED LEARNING PATH PREDICTION IN HUMAN RESOURCE MANAGEMENT SYSTEM

Qureshi, Sameed Ud DIn (Bahria University Karachi Campus, 2020)

With the advancement of technology, data has been exponentially increasing. For this purpose, there is a need to develop such expert systems which may have the capability to deal with the variety ofthe complex problems. ...
OCCLUDED FACE DETECTION IN UNCONSTRAINED CROWD SCENE

Gul, Shazia Reg # 31423 (Bahria University Karachi Campus, 2015)

Face verification system’s gain significant attention in last few years due to increase security concern in public and private places. Face detection is the most important and initial stage in automatic face verification ...
PERFORMANCE ANALYSIS OF DEEP LEARNING APPROACH FOR CLASSIFYING DDOS ATTACK FROM BENIGN NETWORK TRAFFIC

Abbas, Hafsa Enroll # 02-241192-012 (Bahria University Karachi Campus, 2022)

Cyber security has become a great issue in this technological world. There are several types of cyber-attacks that are present, where Distributed Denial-of-Service (DDoS) is one ofthe most common attack type in the cyber ...
SCALABILITY ANALYSIS OF BLOCK CHAIN BASED SYSTEMS

Muhammad, Shahid Enroll # 02-241192-020 (Bahria University Karachi Campus, 2022)

In recent years, block-chain technologies have gained massive momentum application domains. Block-chain is a decentralized data management technology which is speculated to be a disruptive technology that can have a ...

Now showing items 1-14 of 14

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