Efficient Differential Diagnosis using Cost-aware Active Testing by Emile van Gerwen, Leonardo Barbini, Michael Borth, Robert Passmann

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Learning Energy-Efficient Transmitter Configurations for Massive MIMO Beamforming by Hamed Hojatian, Zoubeir Mlika, Jeremy Nadal, Jean-Francois Frigon, Francois Leduc-Primeau

“…Hybrid beamforming (HBF) and antenna selection are promising techniques for improving the energy efficiency (EE) of massive multiple-input multiple-output (mMIMO) systems. …”
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Diagnostic efficiency of exome-based sequencing in pediatric patients with epilepsy by Huafang Zou, Huafang Zou, Qian Zhang, Jianxiang Liao, Jianxiang Liao, Dongfang Zou, Zhanqi Hu, Bing Li, Li Chen, Jialun Wen, Xia Zhao, Victor Wei Zhang, Dezhi Cao, Dezhi Cao

“…This study aims to evaluate the detection efficiencies of different exome-based sequencing techniques.MethodsExome-based epilepsy panel tests, clinical exome sequencing (CES), and whole exome sequencing (WES) were conducted on 259 pediatric patients diagnosed with epilepsy. …”
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An efficient hybrid framework with knowledge transfer for solving capacitated vehicle routing problems by Yanlin Wu, Yanguang Cai, Chuncheng Fang

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An efficient graph attention framework enhances bladder cancer prediction by Taghreed S. Ibrahim, M. S. Saraya, Ahmed I. Saleh, Asmaa H. Rabie

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Efficient and provably-secure certificateless sequential aggregate signature scheme by Zhu WANG, Siqi YANG, Fenghua LI, Kui GENG, Tingting PENG, Mengyao SHI

“…Aiming at the problem that current schemes mostly let the latter signer to verify the multiple signatures of the previous signer, and the message is signed and then passed to the next signer, leading to the efficiency problem of long overall signature time.A sequential aggregate signature scheme based on bilinear pairs was proposed.The aggregate signatures of documents were generated by multiple users in a certain order, and only the final signature was needed to be verified to confirm the correct order of signatures and the legitimacy of multiple user signatures.The complexity of verifying the multi-user sequential signature was effectively reduced and the offline verification of the authenticity of signature was realized when the user was offline or in a delay-tolerant network with limited node caching capacity and network resources.It is shown that the proposed scheme is existential unforgeability against chosen-message attacks under adversary adaptive selection messages in the random oracle model.…”
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Molecular imprinting and nanomaterial synergy for lactate detection by Christopher Animashaun, Gymama Slaughter

“…Molecularly imprinted polymer (MIP)-based electrochemical sensors have emerged as promising non-enzymatic platforms for the selective and stable detection of clinically and environmentally relevant biomarkers. …”
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Recursive Sentiment Detection Algorithm for Russian Sentences by Anatoliy Y. Poletaev, Ilya V. Paramonov

“…To measure the algorithm efficiency on complex sentences, we created OpenSentimentCorpus based on OpenCorpora, an open corpus of sentences extracted from Russian news and periodicals. …”
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Automated anomaly detection of IPTV user experience by Xiaomin TAN, Ai FANG, Duo JIN, Changjiang LI

“…The practice indicates that the algorithm with low calculation cost adapts to abnormal changes in the network and detect anomalies accurately and quickly, which reduces labor costs, improves operation efficiency and promotes intelligent operation.…”
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Economic and ecological efficiency of adaptive system for fertilising spring barley by I. I. Gureev, A. V. Gostev, L. B. Nitchenko

“…The high efficiency of using complex fertilizers in the cultivation of spring barley has been established. …”
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Efficiency of Semantic Web Implementation on Cloud Computing: A Review by Kazheen Ismael Taher, Rezgar Hasan Saeed, Rowaida Kh. Ibrahim, Zryan Najat Rashid, Lailan M. Haji, Naaman Omar, Hivi Ismat Dino

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An overview of ahead geological detection technologies in tunnels by Dingchao Chen, Xiangyu Wang, Jianbiao Bai, Yuan Chu, Xian Wang, Jiaxin Zhao, Menglong Li

“…The rapid advancement of ahead geological detection technologies has been crucial to addressing the challenges posed by complex underground environments in tunnel construction. …”
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Research on lidar target detection for metro scene by PAN Wenbo, LI Cheng, YUAN Xiwen, LONG Teng, ZENG Xiang, XIE Guotao

“…Aiming at the problems of difficult real-time construction of train running forward boundary and complex cluster detection of unstructured track and road environment targets, a lidar based on target detection and forward boundary real-time construction system was proposed. …”
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L-ENet: An Ultralightweight SAR Image Detection Network by Yutong Wang, Min Miao, Shiliang Zhu

“…Synthetic aperture radar imagery plays a vital role in maritime vessel detection, despite facing challenges like complex marine environments, low-contrast target recognition, and similarities between ships and sea surface waves. …”
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A one-stage anchor-free keypoints detection model for fast electric vehicle charging port detection and pose extraction by Feifei Hou, Qiwen Meng, Xinyu Fan, Yijun Wang

“…Experiments demonstrate that in complex lighting scenarios, FasterEVPoints boasts 95% detection accuracy on a proprietary dataset with a positioning error of less than 2 cm at a 50 cm distance. …”
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Optimizing lightweight neural networks for efficient mobile edge computing by Liu Liu, Zhifei Xu

“…Compared to prior single-agent or heuristic methods, our approach improves scalability and efficiency while reducing computational complexity. …”
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Advanced Object Detection for Maritime Fire Safety by Fazliddin Makhmudov, Sabina Umirzakova, Alpamis Kutlimuratov, Akmalbek Abdusalomov, Young-Im Cho

“…To address the specific challenges of shipboard fire and smoke detection, such as varying lighting conditions, occlusions, and the complex structure of ships, we enhance the baseline DETR model by integrating EfficientNet-B0 as the backbone. …”
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Computationally Efficient Artifact Suppression for Optical Coherence Tomography Angiography by Wenxin Zhang, Jun Pan, Shiqi Tang, Ning Liu

“…Current artifact suppression methods often require complex algorithms and extensive computation, limiting their practicality. …”
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BERT-based network for intrusion detection system by Yong Yang, Xing Peng

“…Abstract The rising complexity of cyberattacks poses significant challenges to traditional intrusion detection system (IDS). …”
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Anatomy of Deep Learning Image Classification and Object Detection on Commercial Edge Devices: A Case Study on Face Mask Detection by Dimitrios Kolosov, Vasilios Kelefouras, Pandelis Kourtessis, Iosif Mporas

“…Developing efficient on-the-edge Deep Learning (DL) applications is a challenging and non-trivial task, as first different DL models need to be explored with different trade-offs between accuracy and complexity, second, various optimization options, frameworks and libraries are available that need to be explored, third, a wide range of edge devices are available with different computation and memory constraints. …”
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