Nonstationary Demographic State-Space Models Using Unreplicated Counts for Species Undergoing Environmental Stressors

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Modeling Credibility of Area-level Crop Insurance Under Proxy Yields with Non-Gaussian Copulas

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A Spatial Capture–Recapture Model with Hawkes-Inspired Detection Rates to account for Animal Movement

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A COMPREHENSIVE BENCHMARK OF LINEAR AND ENSEMBLE MACHINE LEARNING MODELS FOR GLOBAL CO₂ EMISSION FORECASTING

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Development of a Robust Multiaxial Fatigue Model for A/C Metallic Assemblies in an Industrial Context

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Decorrelated Local Linear Estimator: Inference for Non-linear Effects in High-dimensional Additive Models

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Examining the Effects of Mathematical Modelling Instruction on Pre-Service Teachers’ Geometry Problem Solving Abilities

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The act of explanation through Educational Rhetoric activity according to the pragmatic approach - Metaphor as a Model -

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The Paradox of Concept or Conception in Qur'anic Discourse: Selected Models from Qur'anic Surahs

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A Binary LSTM Self-Attention Mechanism Model for Mitigating Academic Ingratiation in the Selection Interview

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The Human Capital Gap in Wartime Ukraine: Business Adaptation and the State–Business–Education Model for Recovery

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A PERIODICITY EVIDENCE OF PRICE AND RETURN FORECASTING OF MAJOR TECH STOCKS USING LSTM MODELS

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Corrigendum: Conceptualise the model of creating shared value, organisational performance and the mediating role of change management

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Doping Prevalence in Sport from Indirect Estimation Models: A Systematic Review and Meta-analysis

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Advanced Sarcasm Detection Using Transformer-Based Models: Analyzing Variations in Formal and Informal Languages

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A cyber-attack detection model for IoT-IDS utilizing an Elman Recurrent Neural Network

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A Modified Generative Adversarial Network-based Drug Discovery Model for Accelerating Biomolecular Interaction Predictions

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Performance evaluation of large language models in answering patients' questions about treatment of connective tissue diseases

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Intraoperative elastography and spinal surgery: a systematic review of current and future applications in clinical and preclinical models

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Exploring the role of micro-valence in the phenomenal space: insights from similarity judgments and deep learning models

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