Use of Neutrosophic Cognitive Maps for a more complex representation of human perceptions by Juan Alberto Rojas Cardenas, Nelson Francisco Freire Sanchez, Alipio Absalon Cadena Pozo, Karina Perez Teruel

“…In a scenario where traditional methodologies such as conventional cognitive maps lack the flexibility to represent nuances such as ambiguity or non-linear relationships, a key opportunity arises to explore innovative approaches. …”
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Neuronal Mesh Reconstruction from Image Stacks Using Implicit Neural Representations by Xiaoqiang Zhu, Yanhua Zhao, Lihua You

“…While existing methods are capable of tracking neuronal tree structures and creating membrane surface meshes, they often lack seamless processing pipelines and suffer from stitching artifacts and reconstruction inconsistencies. …”
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Effects of Short-Term Memory and Content Representation Type on Mobile Language Learning by Nian-Shing Chen, Sheng-Wen Hsieh, Kinshuk

“…Because the screen size of mobile phones is limited, the presentation of materials using different Learning Content Representation (LCR) types is an issue that needs to be explored. …”
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Electoral Reforms for Inclusive Representation: Accessing The Legal Rights of Minority in Nigerian Politics by John Afolabi Ogedengbe

“…In evaluating the ripple effects of this lack of inclusive representation, on Nigeria politics, doctrinal research methodology was adopted herein as the work examine the Nigerian Constitution and other legal framework pertaining to Elections and the for Electoral Reform in Nigeria. …”
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Multiscale Structural Information-Based Laplacian Generative Adversarial Network Representation Learning by Yan Liu, Xi Chen, Zheng Lu, Ziyue Wu

“…Deep learning-based algorithms are popular owing to their good performance to learn network representations, but they lack sufficient interpretability as closed boxes. …”
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Sparse Representation-Based LDCT Image Quality Assessment Using the JND Model by Mo Shen, Rongrong Sun, Wen Ye

“…The method is based on the use of sparse representation in conjunction with a just noticeable distortion (JND) model. …”
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A Proactive Model for Intrusion Detection Using Image Representation of Network Flows by Rimsha Saeed, Hassaan Khaliq Qureshi, Christiana Ioannou, Marios Lestas

“…Many interconnected IoT devices driven by imperatives of efficiency and convenience often lack adequate security measures, making them susceptible to exploitation by cyber-criminals. …”
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Poor Representation of Rural Counties of the United States in Some Measures of Consumer Broadband by Cari A. Bogulski, Maysam Rabbani, Corey J. Hayes, Aysenur Betul Cengil, Catherine C. Shoults, Hari Eswaran

“…Introduction: Telehealth has the potential to mitigate the lack of health care access in rural and underserved communities; however, telehealth is only viable where sufficiently high-speed internet broadband is available to patients. …”
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Phylogenetic Position of Hungarian Grey Cattle Breed Based on Total-Representation Sample by Ákos Maróti-Agóts, Zsombor Wagenhoffer, Csilla Józsa, Endre Kaltenecker, Balázs Kemény, Kristóf Csurgay, Benedek Zsigmond, Irene Cardinali, Hovirag Lancioni, András Gáspárdy

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Semantic web-based ontology: a comprehensive framework for cardiovascular knowledge representation by Sabahat Sabir, Fahad Maqbool, Muhammad Saad Razzaq, Dilawar Shah, Shujaat Ali, Muhammad Tahir, Hafiz Muhammad Faisal Shehzad

“…An ontology serves as the basis of any knowledge representation system for a certain domain and eliminates inconsistencies in data to ensure its validity. …”
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Documenting Student Representation of Indigenous HIV/AIDS Information and Integration Into the School Curriculum by Denis, Sekiwu, Olivia Nina, Rugambwa

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Sparse representation for massive MIMO satellite channel based on joint dictionary learning by Qing yang Guan, Shuang Wu

“…However, dictionary learning has shown the potential to significantly improve the accuracy of channel representation. Nevertheless, current research on training dictionary lacks analysis regarding constraints and boundary requirements, resulting in a suboptimal basis. …”
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Cultural Context Representation in the Merdeka Curriculum English Textbook: A Content Analysis by Nabilah Ningrum, Wisma Yunita

“…This study explores the representation of cultural contexts in the English for Change textbook, a key resource for senior high school students under Indonesia’s Merdeka Curriculum. …”
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Knowledge Graph Representation Learning Model Based on Capsule Network and Information Fusion by Chu Zhao, Gilja So, Rui Chen

“…Although knowledge representation learning based on knowledge graph can obtain entity structure and relational embedding, it lacks semantic information utilization of entity description text. …”
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ANALISIS KEMAMPUAN REPRESENTASI MATEMATIS SISWA DITINJAU DARI KECEMASAN MATEMATIKA [ANALYSIS OF STUDENTS' MATHEMATICAL REPRESENTATION ABILITY IN TERMS OF MATH ANXIETY] by Nur Lisa Andriani, Nur Fauziyah

“…The results of the research data showed the profile of mathematical representation ability (1) subjects with “low” math anxiety level had good visual representation ability, but still lacking in symbolic and verbal representation, (2) Subjects with “medium” math anxiety level had quite good visual mathematical representation ability, but still lacking in symbolic and verbal representation (3) subjects with “high” math anxiety level did not fulfill all of the three indicators of mathematical representation ability. …”
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Health equity innovation in precision medicine: data stewardship and agency to expand representation in clinicogenomics by Patrick J. Silva, Vasiliki Rahimzadeh, Reid Powell, Junaid Husain, Scott Grossman, Adam Hansen, Jennifer Hinkel, Rafael Rosengarten, Marcia G. Ory, Kenneth S. Ramos

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Graph-LLM fusion: enhancing fact representation and logical reasoning in artificial intelligence systems by YANG Juan, SHEN Youren

“…Large language models demonstrate strong semantic understanding and generation abilities but lack effective utilization of symbolic knowledge and interpretability. …”
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Monocular vision guided deep reinforcement learning UAV systems with representation learning perception by Zhihan Xue, Tad Gonsalves

“…However, DRL is not good at training deep networks in an end-to-end manner due to data inefficiency and lack of direct supervision signals. This paper provides a visual information dimension reduction scheme with representation learning as the visual perception module, which reduces the dimensions of high-dimensional visual information and retains its features related to UAV navigation. …”
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Graph-LLM fusion: enhancing fact representation and logical reasoning in artificial intelligence systems by YANG Juan, SHEN Youren

“…Large language models demonstrate strong semantic understanding and generation abilities but lack effective utilization of symbolic knowledge and interpretability. …”
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Post-Truth Politics in Action? Representation of the Media in Spanish Radical Parties’ Electoral Campaigns by Taru Haapala, Juan Roch

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