Multimodal human detection in disaster situations using deep learning & artificial intelligence

Multimodal human detection in disaster situations using deep learning & artificial intelligence

This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science, 2022.

Xehetasun bibliografikoak
Egile Nagusiak:	Rafat, Md. Tasbi, Hridy, Fahmida Ahmed, Zaman, Rafid Ibna, Santo, Hasibul Hassan, Siddique, Ibrahim
Beste egile batzuk:	Rahman, Dr. Md. Khalilur
Formatua:	Thesis
Hizkuntza:	English
Argitaratua:	Brac University 2023
Gaiak:	Natural calamity Survival Artificial Intelligence Machine learning Detection System Deep Learning Machine learning. Artificial intelligence.
Sarrera elektronikoa:	http://hdl.handle.net/10361/17918

Antzeko izenburuak

Machine learning approach for improving decision support in ICU
nork: Siddiquee, Mohib Billah, et al.
Argitaratua: (2019)

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

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

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

Real time performance analysis on DDoS attack detection using machine learning
nork: Suvra, Debashis Kar, et al.
Argitaratua: (2021)

Yoga posture recognition using the deep learning process
nork: Islam, Abidul, et al.
Argitaratua: (2023)

Bank loan prediction using machine learning
nork: Mahottam, Parthosarothi, et al.
Argitaratua: (2023)

Implementation of diffusion model in realistic face generation
nork: Rahman, Abidur, et al.
Argitaratua: (2024)

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

Impact of machine learning and deep learning on biomedical applications and healthcare industry
nork: Kabir, Md Saif, et al.
Argitaratua: (2024)

Start up business solution using machine learning
nork: Sohan, Saad Ahmed, et al.
Argitaratua: (2018)

A deep learning approach for prediction of ADHD using brain structure
nork: Siam, Shafin Ahad, et al.
Argitaratua: (2024)

NLP-based AI robot for intelligent interaction
nork: Dastagir, Golam, et al.
Argitaratua: (2024)

Image segmentation of X-Ray and optical images using U-Net/UNet++ based deep learning architecture
nork: Sharma, Tanmoyee, et al.
Argitaratua: (2021)

A hybrid deep learning model and explainable AI-based Bengali hate speech multi-label classification and interpretation
nork: Shakil, Mahmudul Hasan
Argitaratua: (2023)

Detection and classification of Mango Leaf diseases utilizing convolutional neural network models
nork: Ferdous, Md.Rubaiat, et al.
Argitaratua: (2024)

Investigation assistant with suspect anticipating intelligence
nork: Abdullah, Saqueeb, et al.
Argitaratua: (2019)

Machine learning approach for ECG analysis and predicting different heart diseases
nork: Tithi, Sushmita Roy, et al.
Argitaratua: (2019)

A review on the role of artificial intelligence in healthcare transformation
nork: Brishti, Iffat Ara
Argitaratua: (2024)

Classifying insect pests from image data using deep learning
nork: Mohsin, Md. Raiyan Bin, et al.
Argitaratua: (2022)

Transformer vs. RASA model: A thorough attempt to develop conversational Artificial Intelligence to provide automated services to university disciples
nork: Zahir, Shafkat, et al.
Argitaratua: (2023)

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

A machine learning approach to credit default prediction and Individual credit scoring
nork: Rahman, Md. Jaber, et al.
Argitaratua: (2018)

Comparison of machine learning techniques to predict cardiovascular disease
nork: Jaber, Mir Mohammad, et al.
Argitaratua: (2019)

Exploring the intersection of machine learning and explainable artificial intelligence: An analysis and validation of ML models through XAI for intrusion detection
nork: Rahman, Masroor, et al.
Argitaratua: (2023)

Detecting propagandistic poster title: a machine learning approach
nork: Mahmood, Riaz, et al.
Argitaratua: (2024)

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

An interpretable transformer based approach to classify Malaria from blood cell images
nork: Islam, Mehafuza, et al.
Argitaratua: (2023)

Deep learning-based waste classification system for efficient waste management
nork: Nakib, Abdullah Al, et al.
Argitaratua: (2022)

Multimodal approach to human detection in unconstrained environments using YOLOV7 for conventional, infrared & thermal cameras
nork: Rukaiya, Maymuna, et al.
Argitaratua: (2023)

Performance comparison of transformer-based models for multi-reasoning in machine reading comprehension
nork: Sayma, Sadika, et al.
Argitaratua: (2024)

Automated detection of Malignant Lesions in the ovary using deep learning models and XAI
nork: Ifty, Md. Hasin Sarwar, et al.
Argitaratua: (2024)

Explainable artificial intelligence and model calibration for water quality prediction
nork: Hellen, Nakayiza
Argitaratua: (2022)

A decentralized learning-based approach to classify colorectal cancer using Deep Learning Leveraging XAI
nork: Mubin, Kazi Ehsanul, et al.
Argitaratua: (2022)

An artificial intelligence-enabled crop recommendation system
nork: Uddin, Raiyan, et al.
Argitaratua: (2023)

Conversational AI for companionship
nork: Khan, Zakaria, et al.
Argitaratua: (2022)

The impact of artificial intelligence on the financial sector
nork: Siddiqui, Ria
Argitaratua: (2024)

Rumor detection in Bangla using machine learning & deep learning
nork: Ahmed, Md Istiaq, et al.
Argitaratua: (2023)

Hypothesizing precise cancer treatments based on patient survival using machine learning & deep learning
nork: Sakib, Hasibul, et al.
Argitaratua: (2024)

A hybrid rumor detection model derived from a comparative study of supervised approaches
nork: Aothoi, Mehzabin Sadat, et al.
Argitaratua: (2023)