Performance and Efficiency Comparison of U-Net and Ghost U-Net in Road Crack Segmentation with Floating Point and Quantization Optimization by Haidhi Angkawijana Tedja, Onno W. Purbo

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Deep learning model for precise and rapid prediction of tomato maturity based on image recognition by Muhammad Waseem, Muhammad Muzzammil Sajjad, Laraib Haider Naqvi, Yaqoob Majeed, Tanzeel Ur Rehman, Tayyaba Nadeem

Subjects: “…Efficient net…”
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Effect of coarsely quantization on next generation systems with low-density parity check codes by Ehsan Mostafapour, Changiz Ghobadi, Javad Nourinia

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Efficient Capacity-Based Joint Quantized Precoding and Transmit Antenna Selection Using Cross-Entropy Method for Multiuser MIMO Systems by Jung-Chieh Chen, Min-Han Chiu, Yi-Syun Yang, Kuan-Yuen Liao, Chih-Peng Li

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POQ: Is There a Pareto-Optimal Quantization Strategy for Deep Neural Networks? by Floran De Putter, Sherif Eissa, Henk Corporaal

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Efficient human activity recognition on edge devices using DeepConv LSTM architectures by Haotian Zhou, Xiujun Zhang, Yu Feng, Tongda Zhang, Lijuan Xiong

“…The device’s memory usage was 29.1 KB, flash usage was 189.6 KB, and the model’s average inference time was 21 milliseconds, requiring approximately 0.01395 GOP, with a computational performance of around 0.664 GOPS. Even after quantization, the model maintained an accuracy of 97% and an F1 score of 97%, ensuring efficient utilization of computational resources. …”
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Toward resource-efficient UAV systems: Deep learning model compression for onboard-ready weed detection in UAV imagery by Alwaseela Abdalla, Masara M.A. Mohammed, Oluwatola Adedeji, Peter Dotray, Wenxuan Guo

“…We fine-tuned the pruned model on the UAV dataset to mitigate any performance loss resulting from pruning. We then applied quantization to reduce the precision of numerical parameters and improve computational efficiency. …”
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Bridging the Gap Between Computational Efficiency and Segmentation Fidelity in Object-Based Image Analysis by Fernanda Pereira Leite Aguiar, Irenilza de Alencar Nääs, Marcelo Tsuguio Okano

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Hardware-Efficient Neural Network Digital Predistortion for Terahertz Power Amplifiers Using DeepShift and Pruning by Taishi Watanabe, Takeo Ohseki, Issei Kanno

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FL-QNNs: Memory Efficient and Privacy Preserving Framework for Peripheral Blood Cell Classification by Meenakshi Aggarwal, Vikas Khullar, Nitin Goyal, Bhavani Sankar Panda, Hardik Doshi, Nafeesh Ahmad, Vivek Bhardwaj, Gaurav Sharma

“…This study proposes a resource efficient, privacy preserving, optimized memory framework by incorporating two approaches: Federated learning and quantized neural network (FL-QNNs) for peripheral blood cell (PBC) image classification. …”
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Automated and efficient Bangla signboard detection, text extraction, and novel categorization method for underrepresented languages in smart cities by Tanmoy Mazumder, Fariha Nusrat, Abu Bakar Siddique Mahi, Jolekha Begum Brishty, Rashik Rahman, Tanjina Helaly

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Enriched HARQ Feedback for Link Adaptation in 6G: Optimizing Uplink Overhead for Enhanced Downlink Spectral Efficiency by Aritra Mazumdar, Abolfazl Amiri, Stefano Paris, Klaus I. Pedersen, Ramoni Adeogun

“…First, our learning-driven adaptive quantization (LAQ) employs a-priori statistics to refine delta MCS quantization within fixed-size UE feedback. …”
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Edge-Optimized Deep Learning Architectures for Classification of Agricultural Insects with Mobile Deployment by Muhammad Hannan Akhtar, Ibrahim Eksheir, Tamer Shanableh

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An Efficient Ship Target Integrated Imaging and Detection Framework (ST-IIDF) for Space-Borne SAR Echo Data by Can Su, Wei Yang, Yongchen Pan, Hongcheng Zeng, Yamin Wang, Jie Chen, Zhixiang Huang, Wei Xiong, Jie Chen, Chunsheng Li

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CALCULATION OF ELASTICALLY STRESSED QUANTUM WELLS HETEROSTRUCTURE AlXGaYIn1-X-YAs/InP FOR EFFICIENT DIODE LASERS by V. N. Svetogorov, R. Kh. Akchurin, A. A. Marmalyuk, M. A. Ladugin, I. V. Yarotskaya

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Filter Implementation for Power-Efficient Chromatic Dispersion Compensation by Christoffer Fougstedt, Alireza Sheikh, Pontus Johannisson, Per Larsson-Edefors

“…Chromatic dispersion (CD) compensation in coherent fiber-optic systems represents a very significant DSP block in terms of power dissipation. Since spectrally efficient coherent systems are expected to find a wider deployment in systems shorter than long haul, it becomes relevant to investigate filter implementation aspects of CD compensation in the context of systems with low-to-moderate amounts of accumulated dispersion. …”
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Comparative analysis of model compression techniques for achieving carbon efficient AI by Eileen Paula, Jayesh Soni, Himanshu Upadhyay, Leonel Lagos

“…We also compared the energy efficiency of these compressed models against inherently carbon-efficient transformer models, such as TinyBERT and MobileBERT. …”
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GMT: Gzip-based Memory-efficient Time-series classification by Sungmin Lee, Kichang Lee, JaeYeon Park, JeongGil Ko

“…We introduce GMT, a memory-efficient parameter-free classifier that uses gzip compressor and k-nearest neighbors (kNN) for classifying multi-channel time-series data. …”
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An Efficient Architecture for Edge AI Federated Learning With Homomorphic Encryption by Dadmehr Rahbari, Masoud Daneshtalab, Maksim Jenihhin

“…With the rapid growth of edge AI applications, there is an increasing demand for federated learning (FL) frameworks that are both efficient and privacy-preserving. This work introduces a robust approach that leverages homomorphic encryption (HE) to ensure data confidentiality during decentralized training. …”
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Energy-Efficient Deep Learning for Cloud Detection Onboard Nanosatellite by Imane Khalil, Amina Daghouri, Mohammed Alae Chanoui, Zouhair Guennoun, Adnane Addaim

“…The customized SegNet architecture, tailored with minimal kernels and layers, achieved an accuracy of 93.50%, effectively balancing performance and computational efficiency. Quantization further optimized energy consumption, achieving a reduction of 82.2% at 280 MHz. …”
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