A Comprehensive Review of Deep Learning Techniques in Mobile Robot Path Planning: Categorization and Analysis by Reza Hoseinnezhad

“…This comprehensive review categorizes and analyzes DRL methodologies, highlighting their effectiveness in navigating high-dimensional state–action spaces and adapting to complex real-world scenarios. …”
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Color Categorization and its Electroencephalography Correlates: A Review of Neuro-Linguistic Oddball Paradigm Research by Yu. A. Griber

“…The focus of neuro-linguistic research has been shown to be directed towards (1) studying the neurophysiological mechanisms of color categorization and their temporal parameters; (2) investigating the mechanisms of color categorization in preverbal infants; (3) examining the effect of lateralization; (4) analyzing inter- and intra-linguistic differences in color categorization; and (5) determining the neurophysiological correlates of artificial color categories. …”
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New categorized machine learning models for daily solar irradiation estimation in southern Morocco's, Zagora city by Zineb Bounoua, Laila Ouazzani Chahidi, Abdellah Mechaqrane

“…Accurately estimating daily solar irradiation is essential for effectively sizing and simulating solar energy systems. …”
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A Comparison of Methods for Determining the Number of Factors to Retain in Exploratory Factor Analysis for Categorical Indicator Variables by Holmes Finch

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Trained neural networking framework based skin cancer diagnosis and categorization using grey wolf optimization by Amit Kumar K., Satheesha T.Y., Syed Thouheed Ahmed, Sandeep Kumar Mathivanan, Sangeetha Varadhan, Mohd Asif Shah

“…Many studies are focused on the design and development of effective approaches in diagnosis and categorization of skin cancer. …”
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Quantifying and categorizing development paths of poverty-elimination counties in China: Based on the perspective of population-land-industry by Qianxi Zhang, Zhi Cao, Sixin Su, Xuanchang Zhang

“…Despite extended efforts in poverty elimination, there is a lack of quantitative studies categorizing and comparing poverty-elimination counties (PECs) based on their processes. …”
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The Social Construction of Categorical Data: Mixed Methods Approach to Assessing Data Features in Publicly Available Datasets by Theresa Willem, Alessandro Wollek, Theodor Cheslerean-Boghiu, Martha Kenney, Alena Buyx

“…ResultsOur quantitative study suggests scattered effects of including categorical data for machine learning model training across predictive classes. …”
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Efforts of Systematic Categorization Training on Cognitive Performance in Healthy Older Adults and in Adults with Traumatic Brain Injury by Fofi Constantinidou

“…This study investigated the effects of hierarchical cognitive training using the categorization program (CP), designed initially for adults with cognitive deficits associated with traumatic brain injury (TBI). …”
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Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions by Khalied M. Albarrak, Shaymaa E. Sorour

“…This study utilizes AI-driven image processing and Web-enhanced Deep Learning (DL) techniques to investigate the effectiveness of King Faisal University’s (KFU’s) social media strategy as a case study, particularly on Twitter. …”
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A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

“…In this study, our primary aim was to categorize visual objects based on fMRI data during a natural scene viewing task. …”
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For an epistemology of sources by Joseph Morsel

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Combining Feature Extraction Methods and Categorical Boosting to Discriminate the Lettuce Storage Time Using Near-Infrared Spectroscopy by Xuan Zhou, Xiaohong Wu, Zhihang Cao, Bin Wu

“…Therefore, the combination of feature extraction methods (NLDA) and CatBoost using NIR spectroscopy is an effective way to classify lettuce storage time.…”
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How language influences spatial thinking, categorization of motion events, and gaze behavior: a cross-linguistic comparison by Efstathia Soroli

“…Participants had to process a target motion event and choose the variant that looked most like the target (non-verbal categorization), then describe the events (production), and perform a similarity judgment after hearing a target sentence (verbal categorization). …”
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A type-theoretical approach to categorical interaction and complex system adaptation: an empirical study based on register classification by Renkui Hou, Chu-Ren Huang, Kathleen Ahrens

“…Further analyses show that only ratios between categorical pairs with functional application relations are valid predictors. …”
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Principal Component Analysis-Based Shading Defect Identification and Categorization in Standalone PV Systems Using I-V Curves by Hayder Dakhil Atiyah, Mohamed Boukattaya, Fatma Bensalem

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Mises en discours de l’expérience visuelle et cognition située : couleurs et espace. by Danièle Dubois, Caroline Cance

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Categorizing high-grade serous ovarian carcinoma into clinically relevant subgroups using deep learning–based histomic clusters by Byungsoo Ahn, Eunhyang Park

“…Background High-grade serous ovarian carcinoma (HGSC) exhibits significant heterogeneity, posing challenges for effective clinical categorization. Understanding the histomorphological diversity within HGSC could lead to improved prognostic stratification and personalized treatment approaches. …”
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Towards blockchain based federated learning in categorizing healthcare monitoring devices on artificial intelligence of medical things investigative framework by Syed Thouheed Ahmed, T. R. Mahesh, E. Srividhya, V. Vinoth Kumar, Surbhi Bhatia Khan, Abdullah Albuali, Ahlam Almusharraf

“…We evaluate our proposed methodology across a variety of IoT, IoMT, and AIoMT devices, demonstrating effective classification and labeling. Our technique yields a reliable categorization index for facilitating efficient access and optimization of medical devices within global servers.…”
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Reliability of the Main 2D Kinematic Variables of Running Evaluated Categorically in Amateur Runners, Aged 18 to 55 Years by Annie V Stappung, Paulina M Espinoza, Matilda J Letelier, Felipe H Palma

“…Pairwise inter-rater agreement was assessed among all three raters using the Kappa coefficient. Nine categorical kinematic variables related to running biomechanics were assessed…”
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CATEGORICAL ANALYSIS TO PERCEPTIONS OF GOVERNMENT POLICY IN ELECTRICITY FUEL MANAGEMENT AS ALTERNATIVE TO SUBSTITUTE OIL FUEL USING CHI-SQUARE TEST by Nur Chamidah, Naufal Ramadhan Al Akhwal Siregar, Muhammad Fikry Al Farizi, Bagas Shata Pratama, Atikah Faiza, Muhammad Hilmi Fibryan

“…The plan certainly has many positive impacts, including savings on government finances so that they can be diverted to fund other programs that are more effective and on target. These savings are also useful in reducing the budget deficit, controlling the consumption of fuel oil, and saving non-renewable natural resources. …”
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