An Empirical Evaluation of Lightweight Random Walk Based Routing Protocol in Duty Cycle Aware Wireless Sensor Networks by Adnan Noor Mian, Mehwish Fatima, Raees Khan, Ravi Prakash

“…Duty cycling of sensor nodes is used to address the energy consumption problem. However, along with advantages, duty cycle aware networks introduce some complexities like synchronization and latency. …”
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An Effective Method for Borehole Imaging of Buried Tunnels by Loreto Di Donato, Rosa Scapaticci, Tommaso Isernia, Ilaria Catapano, Lorenzo Crocco

“…Since this requires to drill holes in the soil wherein the transmitting and receiving antennas have to be positioned, low complexity of the involved apparatus is important. …”
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Accepting the Legitimacy of Difference: Tools to Support the Decolonisation of Human Research Ethics in Western Health Research by Erin J. Rooney, Melsina Makaza, Rhonda L. Wilson

“…Where and on Whom Will the Research Have an Impact? The research will impact researchers, healthcare professionals, and policymakers by promoting culturally safe research practices. …”
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Performance measurement in data envelopment analysis: a BCC-based approach by Azam Pourhabib Yekta, Mahnaz Maghbouli

“…Notably, the proposed model does not require any prior information on weights or the classification of units, reducing the complexity of the problem.Originality/Value: To highlight the strength of the proposed method, the model is implemented on two case studies and compared with the results obtained from standard BCC models and those of Ramon and colleagues. …”
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SOCIAL MEDIA AND THEIR EFFECT ON POLITICAL PARTICIPATION by Oleksandr Chornenkyi

“…It reviewed the results of empirical studies devoted to the topic of social media's influence on the political participation level and stressed the complexity of the specified problem.…”
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Revaluing Indigenous Models in Suicidology: A Brief Narrative Synthesis by Joanna Brooke, Caroline Lenette, Marianne Wobcke, Marly Wells

“…This represents a missed opportunity for the field of suicidology to learn from Indigenous community-driven models, which have the potential to be translated across contexts. …”
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Pauli path simulations of noisy quantum circuits beyond average case by Guillermo González-García, J. Ignacio Cirac, Rahul Trivedi

“…There, our results shows that for hard instances of the problem, which correspond to Ising model's graph being geometrically non-local, a QAOA algorithm mapped to a geometrically local circuit architecture using SWAP gates does not have any asymptotic advantage over classical algorithms if depolarized at a constant rate. …”
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Pour une simplification de la terminologie médicale multilingue : le cas du projet ExaMode by Andrea Bernardis, Federica Vezzani, Giorgio Maria Di Nunzio

“…Several studies have highlighted the complexity of medical language, which can prevent non-experts from understanding it, and the need to overcome this problem by developing a simplified variety of this language. …”
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Segmented Frequency-Domain Correlation Prediction Model for Long-Term Time Series Forecasting Using Transformer by Haozhuo Tong, Lingyun Kong, Jie Liu, Shiyan Gao, Yilu Xu, Yuezhe Chen

“…Transformer model-based approaches have emerged as promising solutions in this domain. …”
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Effects of Parameter Uncertainties on Interaction between Submarine Telecommunication Cables and Lateral Seabed Movements by Cuiwei Fu, Xiaogang Qin, Yu Wang

“…However, effects of parameter uncertainties on submarine cable responses to seabed movements have not been fully investigated. This paper aims to address this problem using random finite element method (RFEM) that integrates finite element (FE) analysis with Monte Carlo simulation (MCS). …”
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Abnormal Event Detection Method in Multimedia Sensor Networks by Qi Li, Xiaoming Liu, Xinyu Yang, Ting Li

“…., in detecting the sound of gun-shot in the rainforest or the sound of car accident on a busy road). Audio sensors also have price advantage. Detecting abnormal audio events in complicated background environment is a very difficult problem; only few previous researches could offer good solution. …”
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Image-Based Malware Detection Using Deep CNN Models by hawraa omran musa, Muhanad Tahrir Younis

“…This research shows that CNN-based methods can have a high level of effectiveness in detecting obfuscated malware.…”
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Math skills and microstructure of the middle longitudinal fasciculus: A developmental investigation. by Irina Buianova, Asya Istomina, Andrei Manzhurtsev, Maxim Ublinskiy, Victor Karpychev, Marie Arsalidou

“…Functional neuroimaging studies have identified distributed brain networks involved in arithmetic problem-solving. …”
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Towards automatic farrowing monitoring-A Noisy Student approach for improving detection performance of newborn piglets. by Martin Wutke, Clara Lensches, Ulrich Hartmann, Imke Traulsen

“…Nowadays, video monitoring of farrowing and automatic video evaluation using Deep Learning have become increasingly important in farm animal science research and open up new possibilities for addressing specific research questions like the determination of husbandry relevant indicators. …”
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Optimized DINO model for accurate object detection of sesame seedlings and weeds by Yong Wang, ShunFa Xu, ZhenYuan Ye, KongHao Cheng

“…To overcome the high complexity and low detection accuracy limitations of the original DINO model for this problem, the backbone network was replaced with MobileNet V3, the SENet attention mechanism and neck structure were optimized, and the H-Swish6 activation function was introduced to suit edge devices. …”
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Efficient Seismic Denoising Transformer with Gradient Prediction and Parameter-Free Attention by GAO Lei, QIAO Haowei, LIANG Dongsheng, MIN Fan, YANG Mei

“…Firstly, a multi-Dconv head “transposed” attention is introduced in place of the traditional multi-head attention, which can compute the attention between channels to represent the global information, and alleviate the problem of high complexity of the traditional multi-head attention. …”
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Scaled Fenwick Trees by Matthew Cushman

“…A novel data structure that enables the storage and retrieval of linear array numeric data with logarithmic time complexity updates, range sums, and rescaling is introduced and studied. …”
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Secure energy efficiency maximization for joint ITS and IRS assisted satellite downlink communications by Shaochuan Yang, Kaizhi Huang, Hehao Niu, Yi Wang, Ya Liu, Zheng Chu

“…Abstract Satellite communications (SatCom) have been viewed as a promising technique to achieve ubiquitous global coverage in next‐generation wireless systems. …”
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Synthesis of an Algorithm for Classifying Underwater Objects on Based on the Analysis of their Noise Spectra by Evgeniy Storozhok, Vladimir Kristalinskii

“…The well-known classification algorithms are focused on the post-processing of hydroacoustic information, have high computational complexity and cannot be implemented in devices with limited computing resources. …”
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Convolutional spatio-temporal sequential inference model for human interaction behavior recognition by Lizhong Jin, Rulong Fan, Xiaoling Han, Xueying Cui

“…IntroductionHuman action recognition is a critical task with broad applications and remains a challenging problem due to the complexity of modeling dynamic interactions between individuals. …”
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