Domain knowledge-infused pre-trained deep learning models for efficient white blood cell classification by P. Jeneessha, Vinoth Kumar Balasubramanian

“…Though a lot of research has been taken up to develop deep learning models for efficient classification of WBCs, there is still scope for improvement to support the data insufficiency issue in medical data sets. Data augmentation and normalization techniques increase the quantity of data but don’t enhance the quality of the data. …”
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Analisis Konsep Penerapan Murabahah Berdasarkan PSAK 102 pada Perbankan Syariah di Indonesia by Dwi Rahma Fita Hamida, Siti Afidatul Khotijah

“…After the data was collected, the researcher used an inductive method to analyze with qualitative data analysis techniques. …”
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Mission Book Game: Enhancing Fifth-Grade Students’ Learning Motivation on Thematic Learning by Dewa Ayu Candra Dwi Evayani, I Nyoman Jampel, I Wayan Widiana

“…The average validity score of the mission book media game in terms of material experts is 4.8 with very valid criteria, in terms of media experts it is 4.4 with very valid criteria, in terms of practitioner responses it is 4.7 with very valid criteria and in terms of student response of 4.9 with very valid criteria. The motivational data analysis technique used is descriptive quantitative statistical data analysis techniques in the form of prerequisite tests and t-tests. …”
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Urban pulse: measuring pace of life through public camera-based cadence analysis by Pei-Yu Ho, Ming-Kuang Chung, Ling-Jyh Chen

“…This study employs computer vision and signal processing techniques to identify pedestrian cadence, with the aim of exploring its relationship with urban environments. …”
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Between Destiny and Curse: Theological Reform in Countering the Stigma of Disability in Islamic Discourse by Salamuddin, Vanesia Amelia Sebayang

“…Data collection techniques included literature review, analyzed using the Miles, Huberman, and Saldana model, comprising data collection, data condensation, data display, and verification. …”
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Model Selection from Multiple Model Families in Species Distribution Modeling Using Minimum Message Length by Zihao Wen, David L. Dowe

“…Species distribution modeling is fundamental to biodiversity, evolution, conservation science, and the study of invasive species. Given environmental data and species distribution data, model selection techniques are frequently used to help identify relevant features. …”
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Comparison of Machine Learning Models to Predict Nighttime Crash Severity: A Case Study in Tyler, Texas, USA by Raja Daoud, Matthew Vechione, Okan Gurbuz, Prabha Sundaravadivel, Chi Tian

“…In addition, we conducted a pilot study to test the collection of illumination data using a light meter. In the future, we aim to complete the development of a smartphone application, which can be used in conjunction with the random forest model presented in this paper, to collect crowdsourced illumination data and predict nighttime crash hotspots. …”
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Autoencoder-CatBoost Model for Accurate Hyperspectral Quality Assessment of Yunling Snowflake Beef by Lutao Gao, Lilian Zhang, Jian Chen, Lin Peng, Lujiale Guo, Linnan Yang

“…A total of 250 beef samples, scanned in the 900-2500 nm wavelength range, were processed using seven data preprocessing techniques and two feature extraction methods. …”
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Availability predictions of solar power plants using multiple regression and neural networks: an analytical study by Ashish Kumar, Kanak Saini, Ashish Kumar, Dinesh Kumar Saini

“…The impact of failure and repair rates on the availability of the PV power plant investigated. Experimental data used to calculate the Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) of both predictive techniques. …”
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The unilateral biportal endoscopy journey: proposing a 10-tier difficulty progression framework for unilateral biportal endoscopy by Xavier Augusto Santander Espinoza, Elsa González Pérez, Dae-Jung Choi

“…By standardizing the progression of UBE procedures, this framework aims to enhance surgical safety, improve patient outcomes, and facilitate their widespread adoption. …”
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Modeling of Conventional Heat Pipes with Capillary Wicks: A Review by Roberta Caruana, Manfredo Guilizzoni

“…In particular, an integrated approach is recommended, combining physics-based models with data-driven techniques, and supported by a robust and systematic experimental validation strategy, to ensure the reliability and generality of the developed models. …”
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SIGNIFICATIVE ANO PROBLEM BASED LEARNING IN IMMUNOLOGY: OBTAINING A KIT TO TYPE NEISSERIA GONORRHOEAE by Marina Miguez, Susana Cáceres, Ana Acevedo2, Graciela Bortagharay

“…Typifying of Ng is done by techniques baséd on phenotypic characteristics and plasmidic content that individually don't reach an adequate discrimination, and so combination of techniques ·must be used. …”
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ETNOZOOLOGI: STUDI KEARIFAN LOKAL MASYARAKAT ADAT KAMPUNG NAGA TASIKMALAYA by Yustika Ayu Sekartaji, Diana Hernawati, Vita Meylani

“…Due to the absence of a study on ethnozoological studies in the Kampung Naga community, research was carried out on animal maintenance and control of rice pests which were included in the study of ethnozoological studies. The data collection techniques in this study were interview techniques and documentation with qualitative research methods. …”
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The Impact of the Metabolic Syndrome Severity on the Appearance of Primary and Permanent DNA Damage by Mirta Milić, Luka Kazensky, Martina Matovinović

“…A 2022 meta-analysis of data from 28 million individuals revealed a global prevalence of 45.1%, with notably higher rates in the Eastern Mediterranean Region and the Americas, particularly in high-income countries. …”
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Exploring skills acquisition differences in leather work among technical university students in Ghana: The case of Tamale Technical University by Mohammed Seini Issah, Essel Harry Barton, Akosua Tachie-Menson

“…Utilizing an independent sample t-test, the study evaluated the development of creative skills among male and female students in Leatherwork, specifically focusing on Decorative Techniques and Thonging Techniques. The data were derived from a cohort of students enrolled in Leatherwork training from level 100 to level 300 of the Higher National Diploma (HND) program at the Tamale Technical University. …”
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KORELASI PENERAPAN MODEL PEMBELAJARAN PREDICT, OBSERVE, AND EXPLAIN (POE) DENGAN KEMAMPUAN BERPIKIR KRITIS PESERTA DIDIK by Rahma Zabrina

“…The data collection techniques used are observation, documentation, and questionnaires. …”
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A Guide in the Process of Cognitive Behavioral Therapy in Obsessive Compulsive Disorder: Formulation by Nergis LAPSEKİLİ, Mehmet AK

“…In treatment following strategies were applied: 1) Cognitive restructuring of the thoughtaction- fusion, anxiety intolerance, overestimated threat appraisals, 2) exposure and response prevention techniques aimed to test if catastrophic expectations would occur. …”
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Machine Learning Impact on Modern Business Intelligence by Raziyeh Moghaddas, Farinaz Tanhaei, Maryam Al Moqbali, Solmaz Safari

“…An accurate prediction of housing prices can provide benefits to stakeholders such as developers, investors, and policy planners. This study aims to explore the application of ML techniques to property valuation by creating a dataset based on real-world house price data collected from various areas in Muscat, Oman. …”
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Using Grounded Theory Method in Social Media Studies: A Scoping Review by Gitte Galea, Lydia Mainey, Ritesh Chugh

“…This scoping review aims to map the grounded theory research in the field of social media. …”
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Assessing Smoking Determinants in Students: A Predictive Model Based on Anxiety, Distress, and Sleep Patterns by Chaudhuri Tinni, Ghosh Joyeta, Chakraborty Soma, Kumar Pankaj, Guha Banhi

“…The study also explores the effectiveness of predictive modeling using statistical techniques. Primary data was collected from 203 students enrolled in different courses through a structured questionnaire with uniform scoring criteria. …”
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