Ara
Toplam kayıt 267, listelenen: 241-250
Robust and Intelligent Control of Unmanned Aerial Vehicles
(Fen Bilimleri Enstitüsü, 2023-01-02)
Quadrotors from the family of unmanned aerial vehicles have an important place for human life, because over the last decade, they have been used in many areas both civilian and military applications, such as search, ...
An End-To-End Convolutional Neural Network Framework For Low-Resolution Attribute Recognition
(Fen Bilimleri Enstitüsü, 2022)
In video surveillance, visual person attributes such as gender, backpack, and type of clothing are crucial for searching and re-identification. For detecting and retrieving these attributes with high accuracy, the availability ...
Developing a Comprehensive Emotion Lexicon for Turkish
(Fen Bilimleri Enstitüsü, 2023-09)
Social media and mood meters on websites have made expressing ideas easy and clear. These communication channels have produced useful data that can be used across disciplines. These data have helped researchers in several ...
İnsansız Hava Araçlarında Bulunan Kameralar Kullanılarak Orman Yangınlarının Tespit Edilmesi
(Fen Bilimleri Enstitüsü, 2023)
Unmanned aerial vehicles(UAVs) are invaluable technologies thanks to their remote control and monitoring capabilities. Operational forces and firefighters use UAVs in wildfire detection missions. Due to their high pattern ...
Neural Semantİc Parsİng, Annotation and Evaluation for Turkish
(Fen Bilimleri Enstitüsü, 2022-12-13)
Semantic representation is a way of expressing the meaning of a text that can be processed by a machine to serve a particular natural language processing (NLP) task. Universal Conceptual Cognitive Annotation (UCCA) is one ...
A Novel Multivariate Discretization Algorithm Using Dynamic Programming
(Fen Bilimleri Enstitüsü, 2023-01)
Discretization is the task of converting quantitative (continuous) numerical data into qualitative (categorical) by assigning them into non-overlapping intervals. It is an important step in reducing the complexity of data ...
Explaining Artificial Neural Networks With Decision Tree Ensembles
(Fen Bilimleri Enstitüsü, 2023)
With the development of efficient algorithms, artificial intelligence (AI) applications have become ubiquitous in almost every aspect of our lives. They have even started to be used in critical areas such as defense industry, ...
Multimodal Machine Comprehension of How-to Instructions with Images and Text
(Fen Bilimleri Enstitüsü, 2023)
In the blink of an eye, we understand what we are looking at. Most of our brain is organized to process the visual information we receive; thus, replicating human intelligence requires a complete understanding of human ...
Dynamic Fusion Networks For Predicting Saliency in Videos
(Fen Bilimleri Enstitüsü, 2023)
Saliency estimation methods aim to model the human visual attention mechanisms which help to process the most relevant regions in a scene. In other words, the saliency estimation methods' goal is to develop a computational ...
A Novel Communicatıon Protocol Design For Internet Of Flying Things
(Fen Bilimleri Enstitüsü, 2023)
In this thesis a new communication protocol, Message Queuing Telemetry Transport Extended (MQTT-XT) is proposed for the Internet of Flying Things (IoFT) network. The main objective of the proposed protocol is to enable ...