SOME POSSIBILITIES OF THE AERIAL DRONES USE IN PRECISION AGRICULTURE – A REVIEW by IOSIF IOJA, VALENTIN NEDEFF, MARICEL AGOP, FLORIN MARIAN NEDEFF

“…Vegetation indices are needed in agricultural remote sensing and precision agriculture because they provide quantitative and objective information on agricultural crops contributing to more efficient, sustainable and cost-effective land management. …”
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VVC coded distortion prediction model based on frame-level transform coefficient modeling of generalized Gaussian distribution by Yiyin GU, Hongkui WANG, Haibin YIN

“…In versatile video coding (VVC), a variety of advanced coding tools work together to achieve excellent coding performance.Compared with high efficient video coding (HEVC), the transform coefficient distribution (TCD) of VVC has sharper peaks.In order to solve this phenomenon, the probability density function (PDF) of frame-level TCD was modeled, and a frame-level coding distortion prediction model based on statistical modeling was proposed, which modeled frame-level distortion as a function of TCD distribution parameters and quantization parameters.The experimental results show that compared with the Laplace distribution and Cauchy distribution, the generalized Gaussian distribution has the best performance in TCD probability density fitting.The prediction results based on the generalized Gaussian distribution distortion prediction model are closest to the actual coding distortion.…”
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Long-context inference optimization for large language models: a survey by TAO Wei, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…However, long-text inference faces challenges such as high memory consumption and latency. To improve the efficiency of LLMs in long-text inference, a comprehensive review and analysis of existing optimization techniques were conducted. …”
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Optimizing Semantic-Aware Video Compression Using Particle Swarm Optimization Technique for Automotive Applications by Vadivel Shanmugam, B. Uma Maheswari

“…Our experimental results demonstrated that our proposed framework with the AV1 codec achieved the highest efficiency (compression ratio of 12:1). HEVC produced the highest quality results, with a notable improvement in both SSIM (0.9981) and PSNR (53.5656). …”
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Fast Backpropagation Neural Network for VQ-Image Compression by Basil Mahmood, Omaima AL-Allaf

“…<br />In this work, a three layered backpropagation neural network (BPNN) is designed to compress images using vector quantization technique (VQ).The results coming out from the hidden layer represent the codebook used in vector quantization, therefore this is a new method to generate VQ-codebook. …”
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Analysis of space labeling through binary fingerprinting by Marouan Mizmizi, Luca Reggiani

“…In the context of fingerprinting applications, this article presents the performance analysis of a type of space labeling based on the binary quantization of the received signal strength indicator. …”
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Long-context inference optimization for large language models: a survey by TAO Wei, WANG Jianzong, ZHANG Xulong, QU Xiaoyang

“…However, long-text inference faces challenges such as high memory consumption and latency. To improve the efficiency of LLMs in long-text inference, a comprehensive review and analysis of existing optimization techniques were conducted. …”
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Empowering Healthcare: TinyML for Precise Lung Disease Classification by Youssef Abadade, Nabil Benamar, Miloud Bagaa, Habiba Chaoui

“…Our data preprocessing included bandpass filtering and feature extraction through Mel-Frequency Cepstral Coefficients (MFCCs). We applied quantization techniques to ensure model efficiency. The custom CNN model achieved the highest performance, with 96% accuracy and 97% precision, recall, and F1-scores, while maintaining moderate resource usage. …”
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A DSP–FPGA Heterogeneous Accelerator for On-Board Pose Estimation of Non-Cooperative Targets by Qiuyu Song, Kai Liu, Shangrong Li, Mengyuan Wang, Junyi Wang

“…Optimization techniques, including batch normalization fusion, ReLU integration, and linear quantization, are applied to improve inference efficiency. …”
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Analisis Belanja Daerah pada Pemerintah Daerah Kabupaten Jepara by Agustiyana Lailatus Sholikhah, Nuwun Priyono

“…In addition, we also want to know the level of regional spending efficiency in Jepara Regency Regional Government. The research method used is quantitative descriptive by using the analysis of variance ratio analysis, compatibility ratio analysis, and spending efficiency ratio analysis. …”
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Discrete Phase Shift IRS-Assisted Energy Harvesting in Cognitive Radio Networks With Spectrum Sensing by Lilian Chiru Kawala, Guoquan Li, Mihertie Habtamu Demeke, Junzhou Xiong, Hao Xiong, Hang Hu

“…These results highlight the transformative potential of IRS with discrete phase shifts in enhancing EH-CRN efficiency, particularly in improving energy harvesting and SU throughput under practical constraints.…”
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SVPDSA: Selective View Perception Data Synthesis With Annotations Using Lightweight Diffusion Network by S. Raghavendra, Vijayalakshmi, Vainidhi, S. K. Abhilash, Venu Madhav Nookala, P. V. Arun Kumar, Ramyashree

“…The proposed model efficiently generates diverse synthetic images with high-quality perception annotations. …”
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Measuring Local Government Financial Performance With Financial Ratios by Sahala Purba, Rani Agustines Purba, Lucyanna Yosephine Simangunsong, Nadia A.V.E. Gultom, Agnes Patricia R. Sinaga

“…The level of effectiveness of local original revenue (LOR) and the effectiveness of local taxes obtained very effective results. The level of LOR efficiency and regional tax efficiency obtained very efficient results. …”
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TinyML-enabled fuzzy logic for enhanced road anomaly detection in remote sensing by Amna Khatoon, Weixing Wang, Mengfei Wang, Limin Li, Asad Ullah

“…Our framework addresses critical gaps in existing methodologies, such as high computational demands and limited real-time processing capabilities, by leveraging model compression, quantization, and pruning techniques. These enhancements facilitate efficient real-time analysis directly on edge devices. …”
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Center Symmetric Local Multilevel Pattern Based Descriptor and Its Application in Image Matching by Hui Zeng, Xiuqing Wang, Yu Gu

“…Compared with the binary/ternary pattern based descriptors, the CS-LMP descriptor has better descriptive ability and computational efficiency. Extensive image matching experimental results testified the effectiveness of the proposed CS-LMP descriptor compared with other existing state-of-the-art descriptors.…”
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Factors affecting the decisions of tax compliance selection of Vietnamese enterprises: A mega data analysis by To Van Tuan

“…Researching the impact of tax compliance of logistics enterprises through a survey of 404 logistics enterprises in Vietnam and through quantitative analysis using SPSS software, the research results show that enterprises with high financial efficiency have a higher level of tax compliance, at the same time, enterprises with high quality human resources are likely to have a higher level of tax compliance. …”
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Vector signal processing techniques for all-optical networks by Zhen XING, Hongxiang WANG, Yuefeng JI

“…The all-optical vector signal processing technology is of great significance in the evolution of optical network due to its low delay and high efficiency.Therefore,a comprehensive introduction to the technical background and application scheme of the current all-optical signal processing was given.The all-optical signal modulation format was firstly introduced,and the basic characteristics and receiving modes of each modulation format were described.Furthermore,the nonlinear optical effects,which were the basis of all-optical signal processing,were classified and introduced.The occurrence conditions,occurrence process,optical phenomena and common nonlinear media were also illustrated.The advantages of all-optical signal processing technology were briefly introduced and three typical research fields of all-optical signal regeneration,all-optical format conversion and all-optical phase quantization were introduced in detail.Finally,the application prospect of future all-optical vector signal processing technology was prospected.…”
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Performance of massive MIMO‐NOMA systems with low complexity group SIC receivers and low‐resolution ADCs by Changliang Zheng, Kang Yang, Tielian Fu, Tianle Liu, Mengqi Yang

“…Employing the additive quantization noise model, we derive asymptotic approximate expressions of the spectrum efficiency for the system with group successive interference cancellation (GSIC) receivers over Rician fading channels. …”
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Sustainability assessment and improvement strategies research for typical arid and resource-developing regions. by Xudong Zhou

“…Due to its outstanding quantitative advantages, ecological efficiency has become a significant indicator and analytical tool for measuring the green economy and sustainable development. …”
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A Deep Learning-Driven Solution to Limited-Feedback MIMO Relaying Systems by Kwadwo Boateng Ofori-Amanfo, Bridget Durowaa Antwi-Boasiako, Prince Anokye, Suho Shin, Kyoung-Jae Lee

“…By harnessing binary feedback information from the implemented DNNs together with efficient beamforming vectors, a novel approach to the resulting problem is presented. …”
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