An Enhanced End-to-End Object Detector for Drone Aerial Imagery by Quan Yu, Qiang Tong, Lin Miao, Lin Qi, Xiulei Liu

“…Dynamic Groups Assignment employs adaptive parameters to balance the number of positive and negative samples, providing more effective supervision signals for ground-truth boxes. Mixed Query Re-Selection utilizes high-quality bounding boxes regressed by subnet to initialize decoder queries, offering superior prior information for the decoder. …”
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Caption Generation Based on Emotions Using CSPDenseNet and BiLSTM with Self-Attention by Kavi Priya S, Pon Karthika K, Jayakumar Kaliappan, Senthil Kumaran Selvaraj, Nagalakshmi R, Baye Molla

“…Further, the word embedding vectors of the ground truth image captions are created and learned using the Word2Vec embedding technique. …”
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POSITIVISM AND ITS ADVERSARIES: BRADLEY, COLLINGWOOD, NIETZSCHE AND HEIDEGGER by Evaldas Nekrašas

“…Among theoretical reproaches against positivism, the most convincing, it seems, is Collingwood’s claim that positivism does not comprehend the role of absolute (unverifiable and unappraisable in truth-terms) presuppositions of science and does not understand that the task of metaphysics is to detect such propositions, yet it seems that not all positivists are to be blamed for this. …”
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Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

“…Our methods enable learning over specific classes of deep neural network performance-boosting controllers for stable nonlinear systems; crucially, we guarantee <inline-formula><tex-math notation="LaTeX">$\mathcal {L}_{p}$</tex-math></inline-formula> closed-loop stability even if optimization is halted prematurely. When the ground-truth dynamics are uncertain, we learn over robustly stabilizing control policies. …”
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Digitize-HCD: A dataset for digitization of handwritten circuit diagramsMendeley Data by Nadim Ahmed, Mirza Fuad Adnan, Ahmad Shafiullah, Hayder Jahan Parash, Md. Saifur Rahman, Irfan Chowdhury Akib, Golam Sarowar

“…For the preparation of ground-truth data for component port localization, we developed an annotation tool, which is publicly available for reuse. …”
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MYSTICAL ASPECT OF EDITH STEIN'S ANTHROPOLOGY: FROM PHENOMENOLOGY TO THOMISM by J. A. Shabanova

“…Not the mind and not the faith, but will (that directs knowledge to mystical unity of immanent subject and transcendental object in finding the truth) is defining for the mystical character of Stein's creative method. …”
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Salaman and Absal in Abd al-Rahman Jami by Halilović Tehran

“…The king's sagacious adviser helps Salaman recognize the truth of eternal love in the image of Venus, the symbol of love in Persian literature. …”
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Effect of digital elevation model’s resolution in producing flood hazard maps by J.L. Ogania, G.R. Puno, M.B.T. Alivio, J.M.G. Taylaran

“…Results reveal that using light detection and ranging–digital elevation model, the overall accuracy of the flood map is 82.5% with a fitness of 0.5333 to ground-truth data and an error of 0.32 meter in simulating flood depth which implies a promising performance of the model compared to other data sources. …”
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Distinctive Delta and Theta Responses in Deductive and Probabilistic Reasoning by Emir Faruk Sevim, Yasin Yildirim, Esra Ünsal, Esra Dalmizrak, Bahar Güntekin

“…Twenty healthy participants judged the truth values of alternative conclusion propositions following two premises while the EEG was being recorded. …”
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Extracting Origin-Destination with Vehicle Trajectory Data and Applying to Coordinated Ramp Metering by Cheng Zhang, Jiawen Wang, Jintao Lai, Xiaoguang Yang, Yuelong Su, Zhenning Dong

“…When penetration is less than the minimum, the correlation between the estimation and the truth significantly drops, OD estimation tends to be unreliable, and control performance becomes more sensitive. …”
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Person Re-Identification Using Additive Distance Constraint With Similar Labels Loss by Guofa Li, Lisha Huang, Liangwen Tang, Chunli Han, Yaoyu Chen, Heng Xie, Shen Li, Gang Xu

“…Specifically, we reformulated the Softmax loss by adding a distance constraint to the ground truth label, based on which similar labels were introduced to enhance the learned features to be much more stable and centralized. …”
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Linear Diophantine Uncertain Linguistic Power Einstein Aggregation Operators and Their Applications to Multiattribute Decision Making by Tahir Mahmood, Izatmand, Zeeshan Ali, Kifayat Ullah, Qaisar Khan, Ahmed Alsanad, Mogeeb A. A. Mosleh

“…LDULS covers the grade of truth, grade of falsity, and their reference parameters with the uncertain linguistic term (ULT) with a rule 0≤αAMGuAMGx+βANGvAMGx≤1, where 0≤αAMG+βANG≤1. …”
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The essence of case on the merits consideration stage in administrative proceedings by N. V. Ilchyshyn

“…The stage of consideration of the case on the merits due to the specificity of the procedural actions involves a number of both procedural actions designed to ensure a full and impartial clarification of the truth in the dispute, as well as compliance with certain issues of the traditionality of the court session. …”
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Optimizing Project-Based Learning in Developing 21st Century Skills: A Future Education Perspective by Adam Mudinillah, Dedi Kuswandi, Erwin Erwin, Sugiarni Sugiarni, Winarno Winarno, Annajmi Annajmi, Sam Hermansah

“…Then the data is collected and then inputted and processed using the spss application. The truth of the data can be proven by the statements made on the google form which are adjusted to the facts that occur in students. …”
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BEING AS A SYMBOLIC REALITY: A SOCIOCULTURAL CROSS-SECTION OF THE ANALYSIS by Юлія БРОДЕЦЬКА

“…Within the framework of the latter, the semantic basis of being is “living knowledge” (G.Shpet, S.Frank), “holistic knowledge”, truth. In turn, man himself acts as a certain symbolic reality that responds to the ideal nature of being. …”
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TRANSFORMATION REFLEXES OF PRE-CHRISTIAN WORLDVIEW IN KIEVAN RUS LITERATURE by Nataliia O. Stratonova

“…This process has had its impact on the internal development of the mythodogical consciousness of the people, has accelerated the emergence of the epic in his heroic cycles and Kiev, where it was easy, but dosed and originally instilled Christian ritual principles and values.Byzantine and Bulgarian literature’s circle passed to Russ ready and clear truth, and Rus scribes were the first who learnedit as a model for their life. …”
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Prediction of Visual Acuity after anti-VEGF Therapy in Diabetic Macular Edema by Machine Learning by Ying Zhang, Fabao Xu, Zhenzhe Lin, Jiawei Wang, Chao Huang, Min Wei, Weibin Zhai, Jianqiao Li

“…The VA predicted by machine learning was compared with the ground truth. Results. The ensemble algorithm (linear regression + random forest regressor) performed best in VA and VA variance predictions. …”
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Using Large Language Models to Retrieve Critical Data from Clinical Processes and Business Rules by Yunguo Yu, Cesar A. Gomez-Cabello, Svetlana Makarova, Yogesh Parte, Sahar Borna, Syed Ali Haider, Ariana Genovese, Srinivasagam Prabha, Antonio J. Forte

“…We compared the token-level accuracy between LLM output and the ground truth by measuring both node and edge accuracy. LLaMA 2 accurately retrieved the diagnosis, suggested further evaluation, and delivered appropriate management steps, all based on the pathways. …”
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Applying auxiliary supervised depth-assisted transformer and cross modal attention fusion in monocular 3D object detection by Zhijian Wang, Jie Liu, Yixiao Sun, Xiang Zhou, Boyan Sun, Dehong Kong, Jay Xu, Xiaoping Yue, Wenyu Zhang

“…Two depth encoders are supervised by ground truth depth and bounding box respectively, working independently to complement each other’s limitations and predicting more accurate target distances. …”
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CODE-ACCORD: A Corpus of building regulatory data for rule generation towards automatic compliance checking by Hansi Hettiarachchi, Amna Dridi, Mohamed Medhat Gaber, Pouyan Parsafard, Nicoleta Bocaneala, Katja Breitenfelder, Gonçal Costa, Maria Hedblom, Mihaela Juganaru-Mathieu, Thamer Mecharnia, Sumee Park, He Tan, Abdel-Rahman H. Tawil, Edlira Vakaj

“…The final dataset comprises 4,297 entities and 4,329 relations across various categories, serving as a robust ground truth. CODE-ACCORD supports a range of ML and Natural Language Processing (NLP) tasks, including text classification, entity recognition, and relation extraction. …”
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