The efficiency of Amil Zakat Institutions (LAZ) in Indonesian Islamic Banks: Data Envelopment Analysis Approach by Rofiul Wahyudi, Agus Susetyohadi

“…However, a performance evaluation is needed to see how efficient the LAZ is in its operations. This study aims to analyze the level of efficiency of the LAZ of Islamic bank corporations in Indonesia. …”
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Efficient Gamma-Based Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement by Huitao Zhao, Shaoping Xu, Liang Peng, Hanyang Hu, Shunliang Jiang

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Prediction and optimization of gas turbine secondary air system cooling efficiency based on deep learning by Yulong Yao, Bo Hu, Chuan Wang, Jiawei Fan

“…This framework delivers a rapid, physics-informed pathway to SAS boundary-condition design and establishes a quantitative foundation for future GT cooling-system innovation.Highlights Proposed AM-1D-CNN model improves heat transfer efficiency prediction.Attention mechanism enhances prediction accuracy compared to MLP and 1D-CNN.Response surface and gradient optimization identify optimal boundary conditions.Synergistic effect between key parameters enhances system performance.Optimization process identifies optimal boundary conditions for efficiency.…”
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Development of an Efficient and Generalized MTSCAM Model to Predict Liquid Chromatography Retention Times of Organic Compounds by Mengdie Fan, Chenhui Sang, Hua Li, Yue Wei, Bin Zhang, Yang Xing, Jing Zhang, Jie Yin, Wei An, Bing Shao

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Measuring financial sector efficiency in China: A study based on an enhanced neoclassical production function. by Chuanzhen Zheng, Yuan Shan

“…This paper develops an approach for quantitatively assessing financial sector efficiency of a nation (hereinafter referred to as financial efficiency). …”
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METHODOLOGICAL BACKGROUND TO EFFICIENT ENGINEERING SYSTEM DESIGN OF SURFACE PLASTIC DEFORMATIONS BY FREE-MOVING INDENTERS by Valery Alexandrovich Lebedev, Roman Alexeyevich Mishchenko

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A blockchain based efficient incentive mechanism in tripartite cyber threat intelligence service marketplace by Yuan Zhou, Yaoyao Zhang, Qinglin Yang, Yuan Liu, Chunming Rong, Zhihong Tian

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Feature Engineering to Embed Process Knowledge: Analyzing the Energy Efficiency of Electric Arc Furnace Steelmaking by Quantum Zhuo, Mansour N. Al-Harbi, Petrus C. Pistorius

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Superpixel Technique Enabled Spatial Phase Modulation Equalization for Power-Efficient Vortex Beam Generation by Ruhao Zhao, Junpeng Zheng, Cong Zhang, Meng Xiang, Gai Zhou, Yi Xu, Yuwen Qin, Songnian Fu

“…Our results would facilitate various applications mediated by power-efficient phase modulation utilizing the SLM.…”
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Fully Quantized Matrix Arithmetic-Only BERT Model and Its FPGA-Based Accelerator by Hiroshi Fuketa, Toshihiro Katashita, Yohei Hori, Masakazu Hioki

“…In this paper, we propose a fully quantized matrix arithmetic-only BERT (FQ MA-BERT) model to enable efficient natural language processing. …”
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Research of channel quantization and feedback strategies based on multiuser diversity MIMO-OFDM systems by LIANG Xue-jun, ZHU Guang-xi, SU Gang, WANG De-sheng

“…Firstly, a quantization method was proposed by quantized value indicating the modulation level instead of the full values of channel quality information（CQI） and the achievable average spectrum efficiency showed no loss compared with perfect case.Secondly, employment of the integrated design that combined with opportunistic, best, and hybrid feedback scheme was considered and the close-form expression of average spectrum efficiency was deduced in various case.Finally, the calculation of optimal feedback parameters was confirmed from two aspects of feedback channel capacity and capacity relative loss.Extensive simulations were presented to evaluate these proposed strategies.The results match with the numeral analysis very well.The proposed partial feedback schemes can reduce the feedback load greatly with the same system capability, only if the feedback parameters be chosen properly.Wherein, the hybrid feedback combined with quantization performs best and provides the instruction to design the channel feedback of practical systems.…”
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Optimizing Deep Learning Models for Resource‐Constrained Environments With Cluster‐Quantized Knowledge Distillation by Niaz Ashraf Khan, A. M. Saadman Rafat

“…These results highlight the feasibility of CQKD for efficient deep learning model deployment in low‐resource environments.…”
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Study of algorithmic approaches to digital signal filtering and the influence of input quantization on output accuracy by Shermuradova Malika, Gadoeva Mavlyuda, Rahmatov Shukhrat, Abdullaev Uktamjon, Aralov Dilshod

“…The research supports the broader integration of AI-driven technologies in modern automation systems, paving the way for more adaptive, efficient, and fault-tolerant control mechanisms in complex environments.…”
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Smoothed per-tensor weight quantization: a robust solution for neural network deployment by Xin Chang

“…This paper introduces a novel method to improve quantization outcomes for per-tensor weight quantization, focusing on enhancing computational efficiency and compatibility with resource-constrained hardware. …”
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Two-dimensional materials based two-transistor-two-resistor synaptic kernel for efficient neuromorphic computing by Qian He, Hailiang Wang, Yishu Zhang, Anzhe Chen, Yu Fu, Guodong Xue, Kaihui Liu, Shiman Huang, Yang Xu, Bin Yu

“…Here, we develop a 16 × 16 computing kernel based on two-transistor-two-resistor unit with three-dimensional heterogeneous integration compatibility to boost energy efficiency and computing performance. We demonstrate the 4-bit weight characteristics of artificial synapses with low stochasticity. …”
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Reducing Memory and Computational Cost for Deep Neural Network Training with Quantized Parameter Updates by Leo Buron, Andreas Erbslöh, Gregor Schiele

“…For embedded devices, both memory and computational efficiency are essential due to their constrained resources. …”
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Strategies for enhancing deep video encoding efficiency using the Convolutional Neural Network in a hyperautomation mechanism by Xiaolan Wang

“…This study focuses on deep video encoding and proposes an efficient encoding method that integrates the Convolutional Neural Network (CNN) with a hyperautomation mechanism. …”
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YOLORM: An Advanced Key Point Detection Method for Accurate and Efficient Rotameter Reading in Low Flow Environments by Huang Yong, Xia Xing, Xiao Shengwang

“…Automatic reading of rotameters in low flow and challenging environments poses substantial accuracy and efficiency challenges. To address these issues, this study introduces YOLORM, an advanced key point detection method for rotameters, built upon the YOLOv8n model. …”
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Resource-Efficient Cotton Network: A Lightweight Deep Learning Framework for Cotton Disease and Pest Classification by Zhengle Wang, Heng-Wei Zhang, Ying-Qiang Dai, Kangning Cui, Haihua Wang, Peng W. Chee, Rui-Feng Wang

“…Built upon the MobileViTv2 backbone, RF-Cott-Net integrates an early exit mechanism and quantization-aware training (QAT) to enhance deployment efficiency without sacrificing accuracy. …”
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Improving efficiency of road transport through the use of hydrodiodes in hydraulic systems taking into account cavitation phenomena by K. N. Sokirko, E. A. Pavliuchenko, E. A. Lysenko

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