Learned distributed image compression with decoder side information by Yankai Yin, Zhe Sun, Peiying Ruan, Ruidong Li, Feng Duan

“…Multi-view image compression aims to improve compression efficiency by leveraging correlations between images. …”
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Simulation Research of Underground Gas Injection Flow Measurement Based on Fluid-Structure Coupled Heat Transfer Model by YU Jifei, YANG Shukun, XING Xuesong, ZOU Minghua, ZHAO Guangyuan, CHEN Huan, LI Yue, GONG Ruxiang

“…Gas (natural gas, carbon dioxide, air, etc.) is injected into oil reservoir through injection wells to maintain or restore oil reservoir pressure, so that the oil reservoir has a strong driving force, and then improve the production speed and recovery efficiency of the oil reservoir. Considering the stability of gas source, cost, transportation, corrosion and miscible pressure, natural gas or associated gas is considered to be the most promising choice. …”
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A Survey on Video Compression Optimization Techniques for Accuracy Enhancement in Video Analytics Applications (VAPs) by Kholidiyah Masykuroh, Hendrawan, Eueung Mulyana, Farhan Krishna

“…Video analytics is essential in smart city management, traffic monitoring, and security surveillance, where real-time decision-making is critical. However, the efficiency of these applications depends on optimizing video compression parameters to maintain high detection accuracy while minimizing bandwidth usage and computational costs. …”
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Internationalization impacts on team innovation in Lithuanian high-tech firms by Mindaugas Laužikas, Aistė Miliūtė, Mukhammad Khalili

“…In line with studies with regard to innovation processes (Szopik-Depczyńska, 2015; Gries et al., 2017; Von Schomberg and Blok, 2018), the present paper continues examining the innovation performance; however, the main focus is on team innovation performance or the ways of unlocking the internationalization potential within team innovation processes via a set of aspects, such as effective decision-making, creative and divergent thinking, and efficient execution in teams. In light of the emergence of modern technology, employees of Lithuanian high-tech companies were selected for a quantitative survey, while scrutinizing the liaison between team internationalization and innovation commercialization success. …”
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Improved sub-band JND model with textural decomposition and its application in perceptual image coding by Ming-kui ZHENG, Kai-xiong SU, Wei-xing WANG, Cheng-dong LAN, Xiu-zhi YANG

“…Considering the compatibility and the auxiliary information which would affect the encoding efficiency, the JND model was adjusted to the quantization process and re-moved more visual redundancy. …”
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Copy-Move Forgery Verification in Images Using Local Feature Extractors and Optimized Classifiers by S. B. G. Tilak Babu, Ch Srinivasa Rao

“…The proposed algorithms are more efficient than state-of-the-art algorithms even though the suspected image is post-processed.…”
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A lightweight intelligent compression method for fast Sea Level Anomaly data transmission. by Xiaodong Ma, Xiang Wan, Lei Zhang, Dong Wang, Zeyuan Dai

“…Furthermore, parametric pruning and adaptive quantization strategies are embedded to optimize memory efficiency for shipborne hardware constraints. …”
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AI-Based Anomaly Detection and Optimization Framework for Blockchain Smart Contracts by Hassen Louati, Ali Louati, Elham Kariri, Abdulla Almekhlafi

“…In this study, we propose an AI-based optimization framework that enhances the efficiency and security of blockchain smart contracts. …”
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Cloud–Edge Collaborative Learning and Model Compression Framework for Communication-Assisted Human Action Recognition by Bo Gao, Quan Zhou

“…The growing demand for efficient human action recognition has led to significant advancements in applications such as surveillance, healthcare, and human–computer interaction. …”
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DPU empowered intelligent congestion control mechanism for the intelligent computing center network by CHEN Jinqian, GUO Shaoyong, LIU Chang, QI Feng, QIU Xuesong

“…By integrating pruning and quantization, the model was lightweighted. Moreover, the model was transformed into the efficient gradient-boosted decision tree through knowledge distillation method, allowing for precise matching of control actions with real-time network conditions. …”
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FEATURES OF RAIL TRANSPORT AND THEIR ACCOUNTING IN THE REFORM OF THE INDUSTRY by A. Zhdanov

“…Railway transport has a number of significant features that should be considered with much attention into account both in the overall strategy of economic reforms in the country and in assessing the efficiency of the enterprises of the industry and the company JSC RZhD in general with obtaining objective quantitative characteristics. …”
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Two-Step Single Slope/SAR ADC with Error Correction for CMOS Image Sensor by Fang Tang, Amine Bermak, Abbes Amira, Mohieddine Amor Benammar, Debiao He, Xiaojin Zhao

“…The measurement results show that the energy efficiency figure-of-merit (FOM) of the proposed ADC core is only 125 pJ/sample under 1.4 V power supply and the chip area efficiency is 84 k μm2·cycles/sample.…”
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Surface State Treatment of Carbon Dots Using Sulphur Dioxide Isotherm by L. Natrayan, Dhinakaran Veeman, Pravin P. Patil, V. Swamy Nadh, P. Balamurugan, Muse Degefe Chewaka

“…The proposed method shows 8.5% efficiency in relative fluorescence intensity and 8% efficiency in terms of photoluminescence intensity.…”
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Federated Collaborative Learning with Sparse Gradients for Heterogeneous Data on Resource-Constrained Devices by Mengmeng Li, Xin He, Jinhua Chen

“…Extensive experiments demonstrate that the proposed algorithm achieves high classification efficiency, effectively addressing the challenges posed by data heterogeneity.…”
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Topology Property Based on Network Tomography for Wireless Mobile Multihop Communication Network by Danyang Qin, Lin Ma, Qun Ding

“…Simulating results verify the correctness and efficiency of the approach, which will provide the technique basis of research on the dynamic property and end-to-end measurement for wireless mobile multihop communication network.…”
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Temporal dependent rate-distortion optimization based on distortion backward propagation by Hongwei GUO, Ce ZHU, Xu YANG, Lei LUO

“…Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.…”
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Temporal dependent rate-distortion optimization based on distortion backward propagation by Hongwei GUO, Ce ZHU, Xu YANG, Lei LUO

“…Rate-distortion optimization (RDO) is a crucial technique in block based hybrid video encoders.However, the widely used independent RDO is far from obtaining optimal coding performance.To improve the rate-distortion (R-D) performance of high efficiency video coding (HEVC), a temporal dependent RDO algorithm was proposed.Firstly, the formula to calculate temporal distortion propagation factor was derived by using an exponential R-D function.Then, the coding distortion and motion compensation predicted error were obtained by pre-encoding, and the temporal distortion propagation factor was estimated by using distortion backward propagation.Finally, the Lagrange multiplier and quantization parameter of coding tree unit were adaptively adjusted to optimize bit resources allocation.Experimental results show that compared with the original RDO method in HEVC under the low-delay configuration, the proposed algorithm achieves an average 4.4% bit rate reduction for all test sequences, and up to 13.0% bit rate reduction for test sequence BasketballDrill, at the same reconstructed video quality.…”
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Population Median Estimation Using Auxiliary Variables: A Simulation Study with Real Data Across Sample Sizes and Parameters by Umer Daraz, Fatimah A. Almulhim, Mohammed Ahmed Alomair, Abdullah Mohammed Alomair

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Consistent Quality in Video Coding: A Perceptual RDO and Neural Network-Based QP Prediction Approach by Tien Vu Huu, Huy Bui Quoc, Minh Do Ngoc, Xiem HoangVan

“…Following the estimated QP, we propose a RDO process to guarantee the compression efficiency of the proposed codec while maintaining the decoded video with quality consistency. …”
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From life cycle assessment to grass‐based agriculture: A review and application by Yutong Li, Shu Jin, Xiaoping Xin, Yi An, Lili Huo, Changliang Shao, Lulu Wang, Xiaoyu Zhu

“…Abstract Life cycle assessment (LCA) serves as an essential tool for the quantitative evaluation of production efficiency, environmental impacts, and sustainability across the entire life cycle of grass‐based agricultural systems. …”
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