Investigation assistant with suspect anticipating intelligence

Investigation assistant with suspect anticipating intelligence

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2019.

Bibliografiske detaljer
Main Authors:	Abdullah, Saqueeb, Nibir, Farah Idid, Salam, Suraiya, Dey, Akash
Andre forfattere:	Alam, Md. Ashraful
Format:	Thesis
Sprog:	English
Udgivet:	Brac University 2019
Fag:	Computerized system Machine learning Track violations Suspect prediction Criminal Prediction Artificial intelligence
Online adgang:	http://hdl.handle.net/10361/12779

Lignende værker

Predicting climate induced floods using machine learning
af: Saleh, Chowdhury Nafis, et al.
Udgivet: (2022)

Machine learning as an indicator for breast cancer prediction
af: Shadman, Tahsin Mohammed, et al.
Udgivet: (2019)

Use of machine learning and weather predictions to bridge the gap between consumer demands and the market requirements of food crops
af: Hasan, Raad, et al.
Udgivet: (2021)

Implementing machine learning techniques to forecast floods In Bangladesh based on historical data
af: Toufique, S.M, et al.
Udgivet: (2024)

Child Safe Browser Extension: A Browser Extension to Detect Adultery and Violent Content to Make Safer Web for Children
af: Alhossen, Md., et al.
Udgivet: (2021)

Predicting the outcome of purchasing a hotel package to assist policymakers using machine learning
af: Islam, Zahedul, et al.
Udgivet: (2023)

Developing a machine learning based prognostic model and a supporting web-based application for predicting the possibility of early diabetes and diabetic kidney disease
af: Amin, M.M. Shahriar, et al.
Udgivet: (2021)

Weather Pattern Extraction using Statistical Methods & Machine Learning Techniques
af: Habib, Adria Binte
Udgivet: (2021)

Emotion analysis using machine learning model and deep learning model on DEAP dataset
af: Hasan, Anita, et al.
Udgivet: (2022)

An implementation and analysis of deep learning models for the detection of wheat diseases
af: Zubair, Ahmad, et al.
Udgivet: (2024)

RED-LSTM: Real time emotion detection using LSTM
af: Labiba, Mansura Rahman, et al.
Udgivet: (2023)

Demystifying second hand car market in Bangladesh using multimodal machine learning techniques
af: Islam, Roman, et al.
Udgivet: (2024)

Application of CNN based architectures in detection of distracted drivers
af: Arafin, Irfana, et al.
Udgivet: (2023)

Forecasting Dhaka stock exchange prices using machine learning models: a Performance analysis
af: Alam, Md. Iftekharul, et al.
Udgivet: (2024)

Yield prediction for precision agriculture using extreme gradient boosting and support vector regression
af: Ahmed, Md. Sabbir, et al.
Udgivet: (2021)

A deep learning approach to predict crypto-currency price by evaluating sentiment and stock market correlations
af: Maliha, Miftahul Zannat, et al.
Udgivet: (2023)

A counseling system to predict the study path for freshmen
af: Usha, Rowshni Tasneem, et al.
Udgivet: (2019)

Prediction of anxiety and depression among the transgender in Bangladesh
af: Easha, Ishrat Jahan, et al.
Udgivet: (2023)

Predictive maintenance of HVAC system using supervised machine learning algorithms
af: Fahim, Md. Zubayer Ahmed, et al.
Udgivet: (2021)

Intelligent assisted living in pregnancy
af: Zaman, S. M. Tanveer, et al.
Udgivet: (2022)

Comparative analysis of machine learning models for the prediction of asthma disease among the cardiovascular disease patients
af: Jahan, Asif
Udgivet: (2024)

Flight fare prediction using machine learning
af: Noyon, Md. Shaim Hosan, et al.
Udgivet: (2024)

Machine learning for stress prediction
af: Salehin, Sherajus, et al.
Udgivet: (2023)

Crowed source based traffic analysis using machine learning algorithm
af: Orthy, Marzia Khan, et al.
Udgivet: (2017)

Quantum lattice learning and explainable artificial intelligence for maternal and child healthcare
af: Marvin, Ggaliwango
Udgivet: (2022)

Classification and Explanation of Different Internet of Things (IoT) Network Attacks using Machine Learning, Deep Learning and XAI
af: Tasnim, Anika, et al.
Udgivet: (2022)

Predicting peak performance of a cricket player using machine learning and data analytics
af: Azam, Akif, et al.
Udgivet: (2023)

Alumni opportunities using machine learning
af: Siaum, Arshif Sharlimin, et al.
Udgivet: (2019)

Stock price prediction
af: Das, Kaushik, et al.
Udgivet: (2023)

Implementing temporally coherent clustering on student activity to predict exam performance & optimizing the learning pathway through markov chain analysis
af: Anough, Ahmed Saquif Alam, et al.
Udgivet: (2019)

Comparative analysis and machine learning predictions of cervical cancer incidence: a multi-national study
af: Faisal, Shah
Udgivet: (2024)

An effective real-time flood disaster management with automated GSM warning system
af: Faruk, Omar, et al.
Udgivet: (2024)

Machine learning based analysis and prediction of crop yield and prices of Aman, Aus and Boro rice
af: Bhattacharjee, Ruposri, et al.
Udgivet: (2024)

Water quality monitoring using machine learning and Internet Of Things (IoT)
af: Rahman, Naveed, et al.
Udgivet: (2021)

Forecasting stock market prices using advanced tools of machine learning
af: Anwar, Md. Tawhid, et al.
Udgivet: (2019)

Towards solving perception based autonomous driving assistant system
af: Hossain, Md. Arafat, et al.
Udgivet: (2022)

Weather forecasting using Deep Learning
af: Fahad, Sheikh Abdul, et al.
Udgivet: (2023)

Crop prediction based on geographical and climatic data using machine learning and deep learning
af: Alif, Al Amin, et al.
Udgivet: (2019)

Application of machine learning in credit risk assessment: a prelude to smart banking
af: Dhruba, Mir Ishrak Maheer, et al.
Udgivet: (2019)

Breast cancer prediction using different machine learning models
af: Khandker Al- Muhaimin, et al.
Udgivet: (2020)