KOU Dataset
Datasets are essential in research as they provide the fundamental data for analysis, enabling researchers to test hypotheses, develop new theories, and innovate across various fields. They are crucial for training and testing models, especially in computational fields, and serve as benchmarks that help in validating new methodologies. Moreover, datasets facilitate the reproducibility of scientific results, support policy-making with evidence-based insights, and enable longitudinal studies to track changes and predict future trends. Overall, the quality and diversity of a dataset significantly impact the robustness and accuracy of research outcomes.
Dataset for Indoor Positioning using integrated wireless and sensor technologies
Indoor localization solutions are critical for delivering reliable location services in environments where the traditional Global Navigation Satellite Systems (GNSS) are ineffective
Smartphone Inertial Sensors and CCTV Facial Dataset for Human identification
This multimodal biometric dataset combines smartphone inertial gait signals with facial recordings for human identification research. Contains data from 400 participants (39% female, 61% male, ages 18-49) performing 10 walking trials each at Koya University, Kurdistan Region, Iraq.
Poisoned Water Detection
Water is a necessary fluid to the human body and automatic checking of its quality and cleanness is an ongoing area of research.
COVID19 Lockdown
This system is to predict lockdown area due to COVID-19. The system includes two parts: the first part is to use a smartphone application by
Analyzing Social Bots
Social media is internet-based technology and an electronic form of communication that facilitates sharing of ideas, documents, and …
Indoor environmental quality and achieving performance goals for classroom enhancement
School structures are crucial in shaping the upcoming generation’s perspective on the future’s sustainability.
A novel coumarin-triazole-thiophene hybrid
Synthesis, characterization and theoretical studies of a novel coumarin-triazole-thiophene hybrid
Progress and development of organic photovoltaic cells for indoor applications
The rapid growth of the internet of things (IoT) industry has created significant interest inorganic photovoltaics (OPVs).
The perception of the Koya University lecturers of e-learning in the academic year
(2020-2021)
Due to the spread of Covid-19, in which made physical contact with one another led to the spread of the disease and danger to their lives, so e-learning was resorted to all over the world as a temporary solution and an alternative way of studying and preventing the disease.
Kuvost: A Large-Scale Human-Annotated English to
Central Kurdish Speech Translation Dataset Driven
from English Common Voice
This dataset includes 786k utterances derived from Common Voice 18, translated and revised by 230 volunteers into Central Kurdish.
The Use of Handheld and Mobile Devices for Language Learning
Mobile and handheld devices have played a significant role in daily lives of people in general and of students in particular. Learning languages particularly English on mobile devices is no longer new for language learners.
Analyzing Writing Errors of Kurdish EFL Students
at identifying and analyzing writing errors of
Kurdish EFL undergraduate students from two Departments of English at Koya University, Salahaddin University and two English Language Centers of the same universities in Kurdistan Region of Iraq
(henceforth, KRI).
Different types of spelling errors made by Kurdish EFL learners and their potential causes
investigate various types of spelling errors and the causes of spelling inaccuracy of first year Kurdish college students found in their compositions.
Feature two
Sed ut perspiciatis unde omnis natus error sit voluptatem accusantium doloremque.
Feature three
Sed ut perspiciatis unde omnis natus error sit voluptatem accusantium doloremque.
Why Datasets?
Datasets are essential in research as they provide the fundamental data for analysis, enabling researchers to test hypotheses, develop new theories, and innovate across various fields. They are crucial for training and testing models, especially in computational fields, and serve as benchmarks that help in validating new methodologies. Moreover, datasets facilitate the reproducibility of scientific results, support policy-making with evidence-based insights, and enable longitudinal studies to track changes and predict future trends. Overall, the quality and diversity of a dataset significantly impact the robustness and accuracy of research outcomes.
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