Car Price Prediction and Recognition Using Deep Learning and Computer Vision Algorithms by Hira Farman, Saad Ahmed, Muhammad Hussain Mughal, Qurat -ul-ain Mastoi, Govari Shankar Lalwani

“…Our suggested model's performance demonstrates the usefulness and efficiency of the suggested investigation. …”
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Assessing the value of high-resolution data and parameter transferability across temporal scales in hydrological modeling: a case study in northern China by M. Tudaji, Y. Nan, F. Tian

“…This study presents a four-source hydrological model tailored to the runoff characteristics of the mountainous areas in northern China. …”
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Joint power allocation and subcarrier assignment for device to device in 5G time division duplex networks by Pan Zhao, Lei Feng, Peng Yu, Wenjing Li, Xuesong Qiu

“…In time division duplex system, instead of utilizing an exclusive portion of the precious cellular spectrum, device-to-device pairs reuse the subcarriers occupied by cellular users, thus producing harmful interference to cellular users in both uplink and downlink communication, and strongly limiting the spectrum efficiency of the system. …”
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An Adaptive Threshold-Based Pixel Point Tracking Algorithm Using Reference Features Leveraging the Multi-State Constrained Kalman Filter Feature Point Triangulation Technique for D... by Zohaib Wahab Memon, Yu Chen, Hai Zhang

“…Monocular visual–inertial odometry based on the MSCKF algorithm has demonstrated computational efficiency even with limited resources. Moreover, the MSCKF-VIO is primarily designed for localization tasks, where environmental features such as points, lines, and planes are tracked across consecutive images. …”
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Soybeans tempeh image dataset for tempeh maturity detectionGitHub by Riccosan, Soni Yora, Nur Azmi Karim, Ezrela Fidelyn Surya Wibisana

“…Tempeh is a traditional Indonesian food made from soya beans, but it has recently been improved by using other types of beans as the base source. Tempeh has been consumed around the world for a long time and is one of the food substitutes for animal protein. …”
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Optimizing Costs in Plastic Surgery: A Systematic Review of Time-driven Activity-based Costing Applications by Emily L. Isch, MD, Gabrielle Kozlowski, BS, D. Mitchell Self, MD, Theodore E. Habarth-Morales, BS, 1LT, USAR, Sydney Somers, BS, Ahilan Sivaganesan, MD, David Kim, MD, Heather McMahon, MD, Andrew Newman, MD, Matthew Jenkins, MD

“…This systematic review evaluates the literature on TDABC use in plastic surgery to identify key cost drivers and propose strategies for cost-efficiency. Methods:. A systematic review was conducted on studies applying TDABC, activity-based costing, and cost-to-charge ratio in plastic surgery, sourced from PubMed. …”
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Gene-level analysis of core carbohydrate metabolism across the Enterobacteriaceae pan-genome by Nicolas Näpflin, Christopher Schubert, Lukas Malfertheiner, Wolf-Dietrich Hardt, Christian von Mering

“…Most Enterobacteriaceae possess genes enabling the utilization of D-glucose, its epimers, D-glucose-containing disaccharides, and chemically modified derivatives of D-glucose - highlighting the evolutionary adaptation of this family to efficiently exploit this simple sugar. …”
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The performance evolution of Xue and Yamada-Ota models for local thermal non equilibrium effects on 3D radiative casson trihybrid nanofluid by Ahmed M. Galal, Ali Akgül, Sahar Ahmed Idris, Shoira Formanova, Talib K. Ibrahim, Murad Khan Hassani, Abdullah A. Faqihi, Munawar Abbas, Ibrahim Mahariq

“…In systems where material qualities and heat transfer efficiency are crucial, the utilization of Xue model and Yamada-Ota model and to assess the thermal conductivity of the nanofluid adds a comparison dimension and enables optimized design. …”
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Variation in the metagenomic analysis of fecal microbiome composition calls for a standardized operating approach by Zhilu Xu, Yun Kit Yeoh, Hein M. Tun, Na Fei, Jingwan Zhang, Mark Morrison, Michael A. Kamm, Jun Yu, Francis Ka Leung Chan, Siew C. Ng

“…One possible reason for the disagreement is the introduction of systemic biases due to differences in methodologies. In our study, we utilized microbial metagenomic data sets from 2,722 fecal samples generated from a single research center to examine the extent to which sample storage and DNA extraction influence the quantification of microbial composition and compared this variable with other sources of technical and biological variation. …”
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DBA-ViNet: an effective deep learning framework for fruit disease detection and classification using explainable AI by Saravanan Srinivasan, Lalitha Somasundharam, Sukumar Rajendran, Virendra Pal Singh, Sandeep Kumar Mathivanan, Usha Moorthy

“…Abstract Objective The primary aim of this research is to develop an effective and robust model for identifying and classifying diseases in general fruits, particularly apples, guavas, mangoes, pomegranates, and oranges, utilizing computer vision techniques. Material An open-source collection of fruit disease images, comprising both diseased and healthy samples from the first five fruit types, was used in this study. …”
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Power control of an autonomous wind energy conversion system based on a permanent magnet synchronous generator with integrated pumping storage by Farid Merahi, Hamza Mernache, Djamal Aouzelag, Abd Essalam Badoud, Mohit Bajaj, Ievgen Zaitsev

“…Simulation results, conducted in MATLAB/Simulink, show that the system efficiently tracks maximum power points and regulates key parameters. …”
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Genetic Diversity and Population Structure of Cacao (<i>Theobroma cacao</i> L.) Germplasm from Sierra Leone and Togo Based on KASP–SNP Genotyping by Ranjana Bhattacharjee, Mohamed Mambu Luseni, Komivi Ametefe, Paterne A. Agre, P. Lava Kumar, Laura J. Grenville-Briggs

“…This preliminary study demonstrates the use of KASP–SNPs for fingerprinting that can help identify duplicate/mislabeled accessions and provide strong evidence for improving accuracy and efficiency in cacao germplasm management as well as the distribution of correct materials to farmers.…”
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Prospect studies and geological CO2 storage potential in Nigeria by Victor Omefe, Mahlon Kida Marvin, Zakiyyu Muhammad Sarkinbaka, Victor Inumidun Fagorite, Aliyu Buba Ngulde

“…These include the suitability and efficiency of the carbon capture technologies deployed, the level of technical readiness and local capacity, the economic feasibility in terms of operating and capital costs, and the integration of comprehensive life cycle assessments to ensure environmental and economic sustainability.A recent study by the International Finance Corporation (IFC) estimated that Nigeria has a theoretical storage potential of about 10.7 gigatons. …”
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Enhancing Security Operations Center: Wazuh Security Event Response with Retrieval-Augmented-Generation-Driven Copilot by Ismail, Rahmat Kurnia, Farid Widyatama, Ilham Mirwansyah Wibawa, Zilmas Arjuna Brata, Ukasyah, Ghitha Afina Nelistiani, Howon Kim

“…This paper specifically utilizes Wazuh, an open-source Security Information and Event Management (SIEM) platform, as the foundation for capturing, analyzing, and correlating security events from endpoints. …”
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Thermal conductivity of cement-based honeycomb materials: A comparative analysis of T-Shaped vs. H-shaped structural designs by Silong Wang, Junxiang Hu, Yuan Gao, Youjian Zhang, Xiaoxuan Gao, Qiangru Shen, Yanming Liu, Jing Chen

“…These advancements in the design and optimization of cement-based honeycomb materials represent a significant step toward the development of more efficient insulation materials.…”
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MedAlmighty: enhancing disease diagnosis with large vision model distillation by Yajing Ren, Zheng Gu, Wen Liu

“…These challenges are particularly pronounced in multimodal tasks requiring the integration of diverse data sources. While lightweight models offer computational efficiency, they often lack the comprehensive understanding necessary for reliable clinical predictions. …”
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Data-driven predictive models for sustainable smart buildings by Prabhu Rajaram, Gnana Swathika O․V․

“…It highlights the critical role of energy efficiency and the importance of lowering carbon footprints through the implementation of advanced algorithms, including K-Nearest Neighbors (KNN), Support Vector Machines (SVM), Random Forest, XGBOOST, AdaBoost, and Naive Bayes classifiers. …”
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3E analysis of sCO2 recuperator cycle with multi effect desalination and organic Rankine cycle to enhance environmental sustainability by Mahmood Ahmadi, Saadat Zirak

“…The MED process utilizes waste heat from the sCO₂ cycle to produce fresh water, thereby enhancing overall system efficiency, while the ORC optimizes energy recovery from low-grade heat sources. …”
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Adaptive Laboratory Evolution and Carbon/Nitrogen Imbalance Promote High-Yield Ammonia Release in <i>Saccharomyces cerevisiae</i> by Alex Pessina, Anna Giancontieri, Tommaso Sassi, Stefano Busti, Marco Vanoni, Luca Brambilla

“…We selected several evolved strains with a 3–5-fold increase in amino acid utilization and ammonia secretion. The multi-step bioreactor strategy of the evolved strain AAV6, supplemented with concentrated nitrogen sources, resulted in the production of 1.36 g/L of ammonia, a value in line with levels produced by other microbial systems. …”
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Microbial Electrosynthesis for Sustainable Polyhydroxybutyrate Production from CO2 Using Bismuth Nanoparticles by Aliyah Aliyah, Filemon Jalu Nusantara Putra, Hiro Minamimoto, Yutaro Mori, Prihardi Kahar, Muhammad Iqbal Syauqi, Chiaki Ogino

“…Herein, Cupriavidus necator is utilized to produce polyhydroxybutyrate (PHB) using electrochemically synthesized formate as the sole carbon source. …”
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