Architectural design visual information mining system based on image processing technology by Pan Junyu

“…This article mainly analyzes image processing techniques and some data analysis algorithms to obtain the feasibility of their application in visual information mining systems for architectural design. …”
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Reevaluating the therapeutic role of extended lymph node dissection in the era of robot-assisted radical prostatectomy by Atsuro Sawada, Koshiro Nishimoto, Shusuke Akamatsu, Masashi Kubota, Takayuki Sumiyoshi, Ryoichi Saito, Ryoma Kurahashi, Yuya Sekine, Hiromitsu Negoro, Yusuke Shiraishi, Ryo Iguchi, Masakazu Nakashima, Kazuki Kokura, Hiroshi Iwamura, Naoki Kohei, Kimihiro Shimatani, Toshiyuki Kamoto, Takashi Kobayashi, Takayuki Goto, Daimonji Clinical Application Database (Dai-CAD) study group

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Development of a power recovery-based dynamic loading system for full-size drill rods in coal mines by Jing ZHANG, Jie WANG

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High-speed and reduced energy delay product TCAM on FPGA for network routers by Sridhar Raj Sankara Vadivel, Shantha Selvakumari Ramapackiam

“…Ternary content-addressable memory (TCAM) is widely used in the design of high-speed search engines such as network routers and artificial-intelligence-based applications. However, traditional TCAM designs suffer from two major drawbacks. …”
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On Modeling X-Ray Diffraction Intensity Using Heavy-Tailed Probability Distributions: A Comparative Study by Farouq Mohammad A. Alam

“…The results demonstrate the potential of heavy-tailed distributions for modeling XRD intensity data, providing a robust framework for future research and practical applications in material characterization.…”
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An Innovative Strategy for Untargeted Mass Spectrometry Data Analysis: Rapid Chemical Profiling of the Medicinal Plant <i>Terminalia chebula</i> Using Ultra-High-Performance Liquid... by Jia Yu, Xinyan Zhao, Yuqi He, Yi Zhang, Ce Tang

“…The strategy consists of four main steps. First, untargeted data are acquired in negative electrospray ionization (ESI⁻) mode. …”
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A Transformer-Based Multi-Scale Deep Learning Model for Lung Cancer Surgery Optimization by Pengfei Zhu, Tingmin Wang, Fan Yang, Meng Wang, Yunjie Zhang

“…This study presents a Transformer-based multi-scale deep learning framework that integrates imaging, clinical, and genomic data to optimize decision-making surrounding surgery. …”
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Battery Health Monitoring and Remaining Useful Life Prediction Techniques: A Review of Technologies by Mohamed Ahwiadi, Wilson Wang

“…Lithium-ion (Li-ion) batteries have become essential in modern industries and domestic applications due to their high energy density and efficiency. …”
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Managerial and natural disposability in two-stage network structure: a DEA-based approach by Mahnaz Maghbouli, Azam Pourhabib Yekta

“…The traditional Data Envelopment Analysis (DEA) model on network-structured performance analysis normally considers desirable intermediate measures. …”
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Editorial Preview for February 2025 Issue by Su-Cheng Haw

“…This issue contains a diverse collection of 24 papers that demonstrate the recent developments and innovative applications in various fields such as Information Systems (IS), Web Technologies, Artificial Intelligence (AI), Machine Learning (ML), Data Mining (DM), Blockchain, IoT, Cybersecurity, Healthcare and Software Engineering that persist in moulding the digital landscape.…”
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Assessment of genetically modified maize Bt11 × MIR162 × MIR604 × MON 89034 × 5307 × GA21 and 30 subcombinations, for food and feed uses, under Regulation (EC) No 1829/2003 (applic... by EFSA Panel on Genetically Modified Organisms (GMO Panel), Ewen Mullins, Jean‐Louis Bresson, Tamas Dalmay, Ian Crawford Dewhurst, Michelle M Epstein, Leslie George Firbank, Philippe Guerche, Jan Hejatko, Francisco Javier Moreno, Hanspeter Naegeli, Fabien Nogué, Nils Rostoks, Jose Juan Sánchez Serrano, Giovanni Savoini, Eve Veromann, Fabio Veronesi, Michele Ardizzone, Giacomo De Sanctis, Silvia Federici, Antonio Fernandez, Andrea Gennaro, José Ángel Gómez Ruiz, Tilemachos Goumperis, Dafni Maria Kagkli, Paolo Lenzi, Ana M Camargo, Franco Maria Neri, Tommaso Raffaello

“…The GMO Panel concludes that six‐event stack maize, as described in this application, is as safe as the conventional counterpart and non‐GM maize varieties tested, and no post‐market monitoring of food/feed is considered necessary. …”
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An overview of AI in Biofunctional Materials by Dazhou Li

“…Despite remaining challenges in data quality and regulatory alignment, these advances underscore AI’s capacity to deliver high-performance, sustainable biomaterials and point toward an interdisciplinary roadmap for next-generation therapeutic solutions.…”
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ENHANCING NETWORK INTRUSION DETECTION USING MACHINE LEARNING AND META-MODELLING FOR IMPROVED CYBER SECURITY PERFORMANCE by Sunita, Pankaj Verma, Nitika, Jaspreet Kaur, Vijay Rana

“…The work employs Gradient Boosting, Random Forest, and Neural Network classifiers alongside a meta-model that improves the performance of learning models among them. Data enhancements that were used in the models include data normalization and feature selection in a bid to enhance the accuracy of the model’s predictions. …”
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How to Analyze and Enhance Participation in Electronic Networks of Practice by Charkhsaz Fatemeh, Isaai Mohammad Taghi, Dayani Malihe

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Statistic tells: the regulatory pendulum of permit trajectories in China’s genetic governance (2021-2024) by Lingqiao Song, Lingqiao Song, Zhenyu Liu, Fanlin Meng

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A benchmark dataset and methodology for fine grained vehicle make and model classification by Sobia Hayee, Fawad Hussain, Muhammad Haroon Yousaf, Muhammad Haroon Yousaf, Muhammad Yasir, Shahzor Ahmad, Serestina Viriri

“…Our best-performing model achieves an accuracy of 97.3%, demonstrating the potential of the data set to advance ITS applications.…”
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A New ground open water detection scheme using Sentinel-1 SAR images by Songxin Tan

“…The proposed scheme consists of three steps: 1) developing a modified speckle filter to reduce speckle noise while preserving image details, 2) characterizing the data for water and nonwater sites and providing parameter estimation using the Method of log-cumulants (MoLC) with generalized Gamma distribution (GΓD), and 3) applying Markov random field (MRF) for SAR data classification. …”
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Reliable, Energy-Optimized, and Void-Aware (REOVA), Routing Protocol with Strategic Deployment in Mobile Underwater Acoustic Communications by Muhammad Umar Khan, Muhammad Aamir, Pablo Otero

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A Digital Signal Processing-Based Multi-Channel Acoustic Emission Acquisition System with a Simplified Analog Front-End by Gan Tang

“…This allows for real-time or post-processing filtering with adjustable parameters, enhancing flexibility in data analysis. The system supports 8-channel synchronous sampling at 1.25 MS/s, and performance evaluations demonstrate a dynamic range of 79.22 dB and a signal-to-noise ratio (SNR) of 85.39 dB. …”
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DecoStrat: Leveraging the Capabilities of Language Models in D2T Generation via Decoding Framework by Elias Lemuye Jimale, Wenyu Chen, Mugahed A. Al-antari, Yeong Hyeon Gu, Victor Kwaku Agbesi, Wasif Feroze

“…Generally, the findings highlight DecoStrat’s potential for optimizing decoding methods in diverse real-world applications.…”
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