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Infrahepatic Inferior Vena Cava Clamping Reduces Blood Loss during Liver Transection for Cholangiocarcinoma
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Dual-targeting CRISPR-CasRx reduces C9orf72 ALS/FTD sense and antisense repeat RNAs in vitro and in vivo
Published 2025-01-01Get full text
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Hospitality Venues’ Anti-tobacco Legislation Violation in 11 Different Cities in Türkiye
Published 2025-01-01Get full text
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Design and Prototyping of Solar Operated Fertilizer Sprayer.
Published 2023“…Sprayers are of many different kinds which include knapsack sprayers, motorized sprayers, tractor drawn sprayers, etc. …”
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Multiple-seller and multiple-buyer spectrum sharing model in cognitive radio-based wireless sensor network
Published 2017-11-01“…Then, the base station allocates the spectrum band to the cluster heads using the ant colony optimization–based multiple knapsack problem. After obtaining the spectrum, each cluster head programs its nodes’ spectrum according to a timing sequence. …”
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Feminización de las luchas antiextractivistas: el colectivo Mujeres Amazónicas Defensoras de la Selva
Published 2025-01-01“…Finally, I argue that this collective represents a profoundly transformative force. Their defense of Kawsak Sacha as a legal framework enriches discussions on relational ethics, broadens the political inclusion of Indigenous women, and redefines narratives about nature in an increasingly technological era. …”
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Multi-tier cooperative caching in fog radio access network
Published 2019-09-01“…Aiming at the problem of reducing the load of the backward link in the edge buffer and fog wireless access network technology,a multi-tier cooperative caching scheme in F-RAN was proposed to further reduce the backhaul traffic load.In particular,by considering the network topology,content popularity prediction and link capacity,the optimization problem was decomposed into knapsack subproblems in multi-tiers,and effective greedy algorithms were proposed to solve the corresponding subproblems.Simulation results show that the proposed multi-tier cooperative caching scheme can effectively reduce the backhaul traffic and achieve relatively high cache hit rate.…”
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Enhanced vehicle routing for medical waste management via hybrid deep reinforcement learning and optimization algorithms
Published 2025-02-01“…This led to the application of Fractional Knapsack dynamic programming with Deep Q Network to maximize capacity utilization while achieving optimal routes. …”
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MANA İLE HÜKÜM AYRIMINDA TEFSİR İLMİNİN YERİ
Published 2010-03-01“…Bu makale beyânî karakterdeki dini ilimlerden Tefsir ile Fıkıh ilminin kavşak noktası olan mana ile hüküm ayrımını ele almaktadır. …”
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Prediksi Interaksi Drug Target pada Gen Kanker Menggunakan Metode Lasso-XGBoost
Published 2023-07-01“…Selain itu, senyawa herbal dihasilkan dari database HerbalDB dan Knapsack. Pengujian dilakukan pada beberapa jenis ekstraksi fitur seperti CTD, DC, PseAAC, dan PSSM. …”
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Collaborative Cacbe Management Strategy Based on Ant-Colony Replacement Algoritbm in Named Data Networking
Published 2014-09-01“…The cache replacement problem in a single node was modeled as a 0/1 knapsack problem firstly, which could be well solved by an ant-colony replacement algorithm. …”
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A Heuristic Algorithm for Resource Allocation/Reallocation Problem
Published 2011-01-01“…This paper presents a 1-opt heuristic approach to solve resource allocation/reallocation problem which is known as 0/1 multichoice multidimensional knapsack problem (MMKP). The intercept matrix of the constraints is employed to find optimal or near-optimal solution of the MMKP. …”
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UAV path intelligent planning in IoT data collection
Published 2021-02-01“…To solve the problem of path planning of UAV data collection, it was generally be divided into global path planning and local path planning.For global path planning, it was modeled as an orientation problem, which was a combination of two classical optimization problems, the knapsack problem and the traveling salesman problem.The pointer network of deep learning was used to solve the model to obtain the service node set and service order under the energy constraint of the UAV.In terms of the local path planning, the reference signal strength (RSS) of the sensor node received by UAV was employed to learn the local flight path of UAV by deep Q network, which enabled the UAV to approach and serve the nodes.Simulation results show that the proposed scheme can effectively improve the revenue of UAV data collection under the energy constraint of UAV.…”
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Traffic Pattern Prediction and Spectrum Allocation with Multiple Channel Width in Cognitive Cellular Networks
Published 2014-05-01“…The multidimensional bounded knapsack problem is introduced to divide channels, to which the proposed balance between value density and request probability strategy gets the approximate solution. …”
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