Enhancing HEVC Efficiency: A Novel Approach to Intra-Mode Estimation Through Hadamard Cost Analysis by Junaid Tariq, Imran Javed, Touseef Sadiq, Hameedur Rahman, Ashfaq Hussain Farooqi, Amir Ijaz

“…With the rapid evolution of codecs, real-time applications demand more than ever from the complexity of intra-mode selection. Here we show how by employing a refined approach to the rate distortion optimization (RDO) module, we achieve a 5.8% reduction in HEVC complexity and a minor yet notable −0.02% improvement in Bjontegaard Delta Bit Rate (BD-BR). …”
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Selection Method and Application of Dual-Mode TBM in Composite Strata: A Case Study of Shenzhen Metro Line 14 by Jizheng Huang, Xiaoyue Kang, Gaoyu Ma, Fan Chen, Shimin Wang, Renbin Luo

“…While dual-mode TBM selection requires comprehensive consideration of the combined effects of efficiency, duration, and cost related to the distribution of different strata. …”
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FLE-YOLO: A Faster, Lighter, and More Efficient Strategy for Autonomous Tower Crane Hook Detection by Xin Hu, Xiyu Wang, Yashu Chang, Jian Xiao, Hongliang Cheng, Firdaousse Abdelhad

“…To address the complexities of crane hook operating environments, the challenges faced by large-scale object detection algorithms on edge devices, and issues such as frame rate mismatch causing image delays, this paper proposes a faster, lighter, and more efficient object detection algorithm called FLE-YOLO. …”
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Enhancing structured data generation with GPT-4o evaluating prompt efficiency across prompt styles by Ashraf Elnashar, Jules White, Douglas C. Schmidt

“…Our findings reveal trade-offs between prompt style complexity and performance, with JSON providing high accuracy for complex data, YAML offering a balance between readability and efficiency, and Hybrid CSV/Prefix excelling in token and time efficiency for flat data structures. …”
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Criteria Analysis for the Selection of a Generative Artificial Intelligence Tool for Academic Research Based on an Improved Group DEMATEL Method by Constanta Zoie Radulescu, Marius Radulescu

“…Generative Artificial Intelligence (GenAI) tools are transforming academic research by significantly enhancing efficiency, accuracy, and productivity. However, selecting the most appropriate GenAI tool requires careful evaluation of multiple, interdependent criteria. …”
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Coupled intelligent prediction model for medium- to long-term runoff based on teleconnection factors selection and spatial-temporal analysis. by Jintao Li, Ping Ai, Chuansheng Xiong, Yanhong Song

“…For instance, the RF-MLPR model achieved a 3.7%-6.5% improvement in the Nash-Sutcliffe efficiency (NSE) metric across four hydrological stations compared to the RF-SVR model. (4) Prediction accuracy decreased with longer forecast periods, with the R2 value dropping from 0.8886 for a 1-month forecast to 0.6358 for a 12-month forecast, indicating the increasing challenge of long-term predictions due to greater uncertainty and the accumulation of influencing factors over time. (5) The RF-MLPR model outperformed the RF-SVR model, demonstrating a superior ability to capture the complex, nonlinear relationships inherent in the data. …”
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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…The choice of the k-value significantly impacts the model's performance, and traditional methods, such as random selection or selection based on empirical knowledge, often lead to suboptimal outcomes. …”
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Leveraging the Global Innovation Index to Boost Manufacturing Efficiency in Algeria: An ARDL Model Study (2011-2022) by Souleyman Beghni, Meriyam Gourari

“…The model's strong fit, reflected by an R-squared value of 0.693658, underscores its explanatory power. …”
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dyphAI dynamic pharmacophore modeling with AI: a tool for efficient screening of new acetylcholinesterase inhibitors by Yasser Hayek-Orduz, Dorian Armando Acevedo-Castro, Dorian Armando Acevedo-Castro, Juan Sebastián Saldarriaga Escobar, Brandon Eli Ortiz-Domínguez, María Francisca Villegas-Torres, Paola A. Caicedo, Álvaro Barrera-Ocampo, Natalie Cortes, Edison H. Osorio, Andrés Fernando González Barrios

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The salt fringe as an energy periphery: Energy efficiency in the private rental sector of seaside towns in England and Wales by Ed Atkins, Caitlin Robinson, Tom Cantellow

“…These findings advance scholarship on low‐carbon transitions by illuminating important links between energy peripheries and energy efficiency; highlighting seaside towns as important peripheries; and detailing the complex factors defining such peripherality both today and in future energy transitions.…”
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Efficient purification of CrocinI from saffron stigmas using antisolvent precipitation to implications for food technology by Elmira Fotouhi, Fateme Mirzajani, Hassan Rezadoost, Mohammad Hooshyari Ardakani

“…By utilizing antisolvent precipitation, the method offers a cost-effective, straightforward approach for enriching crocins, especially thermally sensitive crocin-I, without the need for complex heating or cooling systems. This method was a straightforward and efficient means of boosting the yield of very pure crocins, offering a scalable and practicable answer to the challenges of saffron extraction and purification.…”
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Multicomponent thiolactone-based ionizable lipid screening platform for efficient and tunable mRNA delivery to the lungs by Álvaro Peña, Juan Heredero, Beatriz Blandín, Elena Mata, Diego De Miguel, Alfonso Toro, Teresa Alejo, Diego Casabona, Alexandre López, Ana Gallego-Lleyda, Esther Pérez-Herrán, Juan Martínez-Oliván, Javier Giménez-Warren

“…Abstract Ionizable lipids are essential components of lipid nanoparticles (LNPs) for efficient mRNA delivery. However, designing them for high protein expression, endosomal escape, and organ targeting is challenging due to complex structure-activity relationships. …”
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Sample-Efficient Multi-Agent DQNs for Scalable Multi-Domain 5G+ Inter-Slice Orchestration by Pavlos Doanis, Thrasyvoulos Spyropoulos

“…For (ii), we explore multi-agent DQN algorithms that can reduce action space complexity by orders of magnitude compared to standard DQN. …”
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Design and validation of a CFD model for energy-efficient Ni-Co-Mn cathode calcination process by Jaeseop Jo, Minyoung Hwang, Jungeui Lee, Joo Hyun Park

“…The model incorporates three essential sub-models to reflect complex physical and chemical phenomena during calcination: a heater control algorithm replicating nonlinear thermal response of industrial heaters with less than five percent deviation from experimental measurements, a data transfer method effectively simulating continuous material movement without computational mesh deformation to maintain numerical stability, and a dehydration reaction kinetics model addressing significant endothermic behavior arising from lithium hydroxide precursors during thermal treatment. …”
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High-entropy alloys catalyzing polymeric transformation of water pollutants with remarkably improved electron utilization efficiency by Ziwei Yao, Yidi Chen, Xiaodan Wang, Kunsheng Hu, Shiying Ren, Jinqiang Zhang, Zhao Song, Nanqi Ren, Xiaoguang Duan

“…The unique non-mineralization regime remarkably reduces PMS consumption and achieves a high electron utilization efficiency of up to 213.4%. Further DFT calculations and experimental analysis reveal that Fe and Co in HEA-NPs act as the primary catalytic sites to complex with PMS for activation, while Ni, Cu, and Pd serve as charge mediators to facilitate electron transfer. …”
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Flood risk mapping and performance efficiency evaluation of machine learning algorithms: Best practice in northern Iran by M. Shirmohammadi, M. Shirmohammadi, S. Pirasteh, W. Li, D. Mafi-Gholami

“…For the analysis, we selected a comprehensive set of environmental and geographical parameters influencing flood susceptibility. …”
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Insights into Phase Transformations during Selective Laser Melting of Ti6Al4V: A Numerical Approach by Gasser Abdelal, Daniel Higgins, Chi-Wai Chan, Brian Falzon

“…Selective Laser Melting (SLM) is a transformative additive manufacturing technique that enables the production of complex metallic components with high precision. …”
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Optimizing HVAC&R System Efficiency and Comfort Levels Using Machine Learning-Based Control Methods by Suroor M. Dawood, Raad Z. Homod, Alireza Hatami

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An Efficient Path Planning Algorithm Based on Delaunay Triangular NavMesh for Off-Road Vehicle Navigation by Ting Tian, Huijing Wu, Haitao Wei, Fang Wu, Jiandong Shang

“…Although the algorithms are currently constrained by the limited data accessibility reflecting real-time transportation status, these findings highlight the generalizability and efficiency of the proposed off-road path-planning algorithm, which is useful for path-planning solutions for emergency operations, wilderness adventures, and mineral exploration.…”
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SA3C-ID: a novel network intrusion detection model using feature selection and adversarial training by Wanwei Huang, Haobin Tian, Lei Wang, Sunan Wang, Kun Wang, Songze Li

“…However, traditional intrusion detection methods exhibit several limitations, including insufficient feature extraction from network data, high model complexity, and data imbalance, which result in issues like low detection efficiency, as well as frequent false positives and missed alarms. …”
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