Using PAT for Energy Recovery and Pressure Reduction in Water Distribution Networks by Hamed Mohammadi, Mahnaz Ghaeini-Hessaroeyeh, Ehsan Fadaei-Kermani

“…Leakage is one of the main problems of urban water distribution networks. Leakage control and management can play an important role in increasing network efficiency and reducing water loss. …”
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Predictive models for overall health of hydroelectric equipment based on multi-measurement point output by Liu Dong, Kong Lijun, Song Jinghui, Zhou Yiming

“…By comparing and analyzing the predictive performance, error results, and real-time prediction performance before and after model optimization, it was concluded that the prediction model constructed by SBM, hypersphere algorithm, and LSTM network had an overall average improvement of 23.7% in the prediction precision of 12 parameters, including temperature, vibration frequency, pressure, and lubrication degree, for the optimized upper guide bearing, thrust guide bearing, and water guide bearing systems. …”
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Group Decision Making Using Mean SAW Borda and Decision Maker-Based Criteria Weighting by Pradityo Utomo, Dwi Nor Amadi

“…In an organization, unfair decisions are often a problem. Therefore, this study creates a group decision-making model to optimize the achievement of fair decisions. …”
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Classification of Bitter gourd leaf disease using deep learning architecture ResNet50 by Artika Artika, Wikky Fawwaz Al Maki

“…The proposed ResNet50 architecture accomplished 98% accuracy with the Adam optimizer. The ResNet101 architecture achieves an average accuracy of 94% with the Adam optimizer. …”
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An Integrated Sample-Free Method for Agricultural Field Delineation From High-Resolution Remote Sensing Imagery by Yu Zhu, Yaozhong Pan, Tangao Hu, Dujuan Zhang, Jiajia Dai

“…However, common learning-based delineation methods face problems related to limited sample availability and weak transferability. …”
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Resource Scheduling with Uncertain Execution Time in Cloud Computing by LI Cheng-yan, CAO Ke-han, FENG Shi-xiang, SUN Wei

“…For the problem of cloud computing resource scheduling, based on the fuzzy programming theory, a fuzzy cloud resource scheduling model under timecost constraint was set up, the uncertain execution time of tasks is represented by the triangular fuzzy number, and the target is to minimize the average value and standard deviation of the evaluation function An improved chaotic ant colony algorithm was proposed to solve the model, the elitist strategy is introduced to optimize the pheromone updating, a chaotic mapping with infinite folding times is used for chaotic search, and the adaptive chaotic disturbance mechanism is designed to enhance the global searching ability The model and algorithm were tested on the Cloudsim platform, the reliability of the model was proved, and the experimental results showed that the proposed algorithm had better performance in convergence speed, solution ability and load balance…”
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SAR-PATT: A Physical Adversarial Attack for SAR Image Automatic Target Recognition by Binyan Luo, Hang Cao, Jiahao Cui, Xun Lv, Jinqiang He, Haifeng Li, Chengli Peng

“…Deep neural network-based synthetic aperture radar (SAR) automatic target recognition (ATR) systems are susceptible to attack by adversarial examples, which leads to misclassification by the SAR ATR system, resulting in theoretical model robustness problems and security problems in practice. Inspired by optical images, current SAR ATR adversarial example generation is performed in the image domain. …”
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Chinese Word Sense Disambiguation Based on Word translation and Part of speech by ZHANG Chunxiang, ZHAO Lingyun, GAO Xueyao

“…We select disambiguation window of ambiguous word which contains two adjacent lexical units and word, partofspeech and translation are extracted as disambiguation features Based on disambiguation features, convolution neural network is used to construct word sense disambiguation (WSD) classifier Training corpus in SemEval-2007: Task#5 and semantic annotation corpus in Harbin Institute of Technology are used to optimize parameters of CNN Test corpus in SemEval-2007: Task#5 is applied to test word sense disambiguation classifier Experimental results show that compared with Bayes model and BP neural network, the proposed method in this paper can make average disambiguation accuracy improve 14.94% and 6.9%…”
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Reduced-Complexity Radio Architectures for Enhanced Receive Selection Combining in Multiuser Diversity Systems by Elpiniki P. Tsakalaki, Osama N. Alrabadi, Constantinos B. Papadias, Ramjee Prasad

“…In order to allay this problem, we propose miniaturized switched beam receiver designs assisted by low-cost passive reflectors. …”
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Hydrospatial Modelling and Simulations for Assessing the Irrigation Canal Conveyance Losses by A. A. Kulkarni, R. Nagarajan

“…This issue constitutes the serious lacuna in irrigational planning which often depicts the major problem about optimal water use. As per FAO Aquastat 2015 records for India, out of 91% of water utilized for agriculture purpose, 45% is getting lost under different types of conveyance losses from dam headworks till farms. …”
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Self-Adaptive Trust Based ABR Protocol for MANETs Using Q-Learning by Anitha Vijaya Kumar, Akilandeswari Jeyapal

“…Due to the nomadic nature of nodes, detecting misbehaviour is a complex problem. Nodes also share routing information among the neighbours in order to find the route to the destination. …”
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Cloud computing virtualization technology based on bandwidth resource-aware migration algorithm by Jin Zhiwei

“…The results showed that the algorithm outperformed others, achieving optimal performance in just 102 iterations and excelling in resource occupancy, utilization, load balancing, migration costs, average migration quantity, latency, and task completion time. …”
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Geometric Modeling and Fatigue Strength Simulation of Bevel Gears with Variable Radius Tooth Root by Haohan Zeng, Huiming Sun, Tao Wang, Liangmo Wang, Hanguan Xia, Yi Dong

“…Based on the fixed-radius non-standard planetary gear of an electric vehicle differential， the general equation of tooth root variable-radius fillet under different tooth root cones is derived， and the variable-radius non-standard planetary gear is optimally designed. Through finite element dynamics and fatigue life simulation analysis， it is concluded that the average tooth root bending stress of the bevel gear is reduced by 10.8% and the fatigue damage is reduced by 6.6% for the variable radius tooth root fillet compared with the fixed radius fillet with the largest radius. …”
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High Ambient Contrast Ratio and Efficiency LED Display Devices Utilizing Inverted Packaging Structure by Zong-Tao Li, Yi-Hua Qiu, Jia-Sheng Li, Jin-Cheng Li, Bin-Hai Yu, Xin Zhu, Xin-Rui Ding

“…Compared to traditional devices, the inverted device showed an average increase of over 800% in luminous flux (LF) and LOE, and an average increase of over 390% in ACR. …”
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Ecological and toxicological screening of the safety of drinking water for livestock enterprises of Odesa region by L. H. Roman, S. I. Ulyzko, O. M. Zelenina, P. M. Skliarov, O. A. Bezaltychna, N. I. Dankevich, V. A. Chornyi, I. S. Sliusarenko

“…By using the microbiological method - ecological-toxicological express biotesting (with the help of the preparation of test organisms of the dry culture of ciliates Colpoda steinii), it was determined that among 106 samples of tap water for watering animals, an average of 65.62 received a rating of “general weak toxicity”; 67.01 and 64.88 % of the samples, respectively, for each farm (P < 0.001, which highlighted the problem of the unsatisfactory quality of drinking tap water for dairy cattle. …”
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Herd Immunity to Hepatitis B in the Russian Federation in 2017–2019 by S. N. Kuzin, T. A. Semenenko, V. V. Klushkina, N. V. Vlasenko, N. S. Churilova, Ya. V. Panasyuk, E. N. Kudryavtseva, M. I. Korabel'nikova, D. V. Dubodelov, Z. S. Rodionova, G. G. Solopova, M. V. Konopliova, I. G. Nikitin, N. I. Shulakova, A. V. Tutelian, V. G. Akimkin

“…Hepatitis B is a global problem of global and Russian public health due to its high prevalence and the possibility of forming a chronic form of the disease with the development of cirrhosis and hepatocellular carcinoma.  …”
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Internet of things data security and privacy protection based on improved federated learning by Wang Gang

“…In addition, the improved approach effectively reduced the risk of data breaches by 1.5%, increased the resistance to attacks by 90%, and increased the user trust by 85%. The average response time of the optimized system is between 5 and 100 milliseconds. …”
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Challenges and Outcome of Infected Non Union of Bones using Masquelet Technique: A Case Series by Shivam Sahu, V Venkataram, Jomon De Joseph, KR Ganesh Krishnan

“…Infected non union of bones poses a significant challenge for orthopaedic surgeons due to the complexity of the problem, which includes bone necrosis, segmental bone loss, sinus tract formation, fracture instability, and scar adhesion of soft tissues. …”
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Diagnosis of pulmonary and pleural complications of acute necrotizing pneumonia in children by V.A. Dihtiar, A.A. Halahan, D.M. Lukianenko

“…Background. Nowadays, the problem of diagnosis and treatment of purulent destructive diseases of the bronchopulmonary system, as well as their prevention in children, remains re­levant, which is associated with a large number of pulmonary and pleural forms and complications of acute necrotizing pneumonia. …”
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Static Voltage Stability Evaluation and Correction Strategy Based on Stage Solving Strategy and SIFT by Yan Wen, Xiaoming Liu, Yongzhi Zhou, Huiwen Zhang, Donglei Sun

“…Aiming at the static voltage instability problem of the power grid caused by large-scale access of renewable energy sources, the study adopts the scale invariant feature transform algorithm for boundary feature extraction, while optimizing the traditional generalized resilience index of the power grid. …”
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