Contextual Deep Semantic Feature Driven Multi-Types Network Intrusion Detection System for IoT-Edge Networks by Shaho Hassen, Ahmed Abdlrazaq

“…There exists an array of applications employing edge- internet of things (Edge-IoT) where the edge nodes collect local data to perform real-time decisions. …”
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Sistem Smart Trash Pemilah Sampah Organik dan Anorganik Berbasis Internet of Things by Ismail Ismail, Andi Zulkifli Nusri, Syariful Rahman

“…Arduino microcontroller, Node MCU ESP8266. The ultrasonic sensor reads the presence of object in front of the sensor then servo opens the trash can lid, and the garbage is put in the trash can. …”
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Use Linear Weighted Genetic Algorithm to Optimize the Scheduling of Fog Computing Resources by Ruisheng Li

“…This paper establishes a mathematical model for the resource management and scheduling of the fog node cluster and establishes the optimization goals of delay, communication load, and service cost. …”
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Data poisoning attack detection approach for quality of service aware cloud API recommender system by Zhen CHEN, Wenchao QI, Taiyu BAO, Limin SHEN

“…To solve the problem that existing studies usually assumed that the QoS data of cloud API recommender system was reliable, ignoring the data poisoning attack on cloud API recommender system by malicious users in open network environment, a data poisoning attack detection approach based on multi-feature fusion was proposed.Firstly, a user connected network graph was constructed based on the designed similarity function, and users’ neighborhood features were captured using Node2vec.Secondly, sparse auto-encoder was used to mine user QoS deep feature, and user interpretation feature based on QoS data weighted average deviation was designed.Furthermore, a fake user detection model based on support vector machine was established by integrating user neighborhood feature, QoS deep feature, and interpretation feature, the model parameters were learned using grid search and alternating iterative optimization strategy to complete fake user detection.Finally, the effectiveness and superiority of the proposed approach were verified through extensive experiments, realizing the poison attack defense against QoS aware cloud API recommender system at the data side.…”
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A Multiobjective Evolutionary Algorithm for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network by Weirong Liu, Gaorong Qin, Shuo Li, Jian He, Xiaoyong Zhang

“…The simulation results show that the proposed algorithm can reduce the average energy consumption of cognitive sensor node, while improving the global probability of spectrum sensing.…”
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An effective scheduling in data centres for efficient CPU usage and service level agreement fulfilment using machine learning by Rohit Daid, Yogesh Kumar, Yu-Chen Hu, Wu-Lin Chen

“…In addition, the power consumption, as well as management of the node clusters is also a problematic situation when the CPU utilisation increases up to the limit. …”
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A Scalable Multi-Target Tracking Algorithm for Wireless Sensor Networks by Songhwai Oh

“…The task of tracking multiple objects in a wireless sensor network is challenging due to constraints on a sensor node such as short communication and sensing ranges, a limited amount of memory, and limited computational power. …”
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A self-configuration framework for balancing services in the fog of things by Edson Mota, Jurandir Barbosa, Gustavo B. Figueiredo, Maycon Peixoto, Cássio Prazeres

“…Specifically, in scenarios with ten fog nodes, our approach increases average availability by 10 ​%–20 ​% and achieves 70 ​%–80 ​% load balancing. …”
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Multi-level clustering and Prediction based energy efficient routing protocol to eliminate Hotspot problem in Wireless Sensor Networks. by Bhaskar Prince, Prabhat Kumar, Sunil Kumar Singh

“…Analysis indicates that the proposed protocol effectively mitigates the hot-spot problem and reduces data transmission overhead of sensor nodes. In simulation, the proposed protocol on an average improves network life by 34.5%, 23.5%, 14.5% and 5.5% as compared to existing protocols FCEEC, DBSCAN, LPGCR and FBECS respectively for deployment of nodes between 600 to 1200. …”
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Energy-Efficient Hybrid Adaptive Clustering for Dynamic MANETs by Kudret Yilmaz, Resul Kara, Ferzan Katircioglu

“…Mobile ad hoc network (MANET) is a wireless, mobile node network in which the nodes move randomly and operate without centralized management. …”
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Deep Reinforcement Learning-Based Routing Method for Low Earth Orbit Mega-Constellation Satellite Networks with Service Function Constraints by Yan Chen, Huan Cao, Longhe Wang, Daojin Chen, Zifan Liu, Yiqing Zhou, Jinglin Shi

“…Specifically, this method constructs the system model based on the latest NTN low-orbit satellite network end-to-end transmission architecture, taking into account the SFC constraints, transmission delays, and network node loads in the end-to-end traffic transmission, uses a GNN to extract node attributes and dynamic topology features, and uses the DRL method to design specific reward functions to train the model to learn routing policies that satisfy the SFC constraints. …”
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From MRI to FEM: an automated pipeline for biomechanical simulations of vertebrae and intervertebral discs by Kati Nispel, Kati Nispel, Tanja Lerchl, Gabriel Gruber, Hendrik Moeller, Robert Graf, Veit Senner, Jan S. Kirschke, Jan S. Kirschke

“…We rated mesh quality metrics and processing times.ResultsWith an average number of 21 vertebrae and 20 IVDs per subject, the average processing time was 4.4 min for a vertebra and 31 s for an IVD. …”
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GNODEVAE: a graph-based ODE-VAE enhances clustering for single-cell data by Zeyu Fu, Chunlin Chen, Song Wang, Junping Wang, Shilei Chen

“…Results We present GNODEVAE, a novel architecture integrating Graph Attention Networks (GAT), Neural Ordinary Differential Equations (NODE), and Variational Autoencoders (VAE) for comprehensive single-cell analysis. …”
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Heap Optimization in A* Pathfinding for Horror Games by Risaldi Angga Buana Putra, Ary Setijadi Prihatmanto, Rahadian Yusuf, Agus Sukoco

“…Heap optimization is introduced to enhance A* performance by reducing the time required to identify the lowest-cost node in the Open List. Experimental results from a Unity-based prototype demonstrate that the optimized A* achieves an average pathfinding time of 1.6 ms, compared to 3.16 ms without optimization—representing a 49.37% improvement. …”
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Synchronous Firefly Algorithm for Cluster Head Selection in WSN by Madhusudhanan Baskaran, Chitra Sadagopan

“…Wireless Sensor Network (WSN) consists of small low-cost, low-power multifunctional nodes interconnected to efficiently aggregate and transmit data to sink. …”
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Hyperspectral target detection based on graph sampling and aggregation network. by Tie Li, Hongfeng Jin, Zhiqiu Li

“…This proposed model is capable of autonomously learning the effective feature representations of nodes within the graph, thereby facilitating the extraction and processing of graph data. …”
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Crowd-based collaboration caching mechanism in smart identifier network by Haifeng LI, Wei QUAN, Nan CHENG, Hongke ZHANG, Xuemin SHEN

“…Smart identifier network (SINET) is an innovative network architecture.Through dynamic collaboration of service resource,function groups and physical components,the network scalability,resource utilization and service quality were effectively improved by SINET,and an effective solution for the development of industrial Internet of things(IoT) could be provided.To promote content delivery in resource-constrained IoT,caching function was introduced in network components by SINET,and the bandwidth waste caused by traffic redundancy in resource-constrained node could be reduced.Therefore,how to efficiently cache content became an important research topic.Based on SINET architecture,a crowd-based collaboration cache (C2Cache) mechanism was proposed in this scheme.According to the actual network topology,the caching function group was dynamically created and optimized by C2Cache,and a function group as crowd minimum unit to execute the maximum benefit cache (MBC) algorithm was defined to maximize the caching space efficiency.With the self-developed emulation system,named EmuStack,the performance of C2Cache was evaluated.The experimental results show that,comparing with LCE,Random,Prob Cache,LCD and Greedy caching mechanisms,the cache hit rate can be improved effectively,then the average access time can be reduced significantly by C2Cache.In the simulated network scenario,the performance increases 15% to 30%.…”
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Self-Adaptive Trust Based ABR Protocol for MANETs Using Q-Learning by Anitha Vijaya Kumar, Akilandeswari Jeyapal

“…Thus secure and stable route is calculated as a weighted average of the trust value of the nodes in the route and associativity ticks ensure the stability of the route. …”
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A high‐performance full swing 1‐bit hybrid full adder cell by Shahbaz Hussain, Mehedi Hasan, Gazal Agrawal, Mohd Hasan

“…The performance evaluation of the proposed FA cell has been carried out using an HSPICE simulator at the 16 nm process node by comparing it with eight existing FAs over the supply voltage ranging from 0.4 to 1.0 V. …”
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Minimizing the Number of Mobile Chargers to Keep Large-Scale WRSNs Working Perpetually by Cheng Hu, Yun Wang

“…Wireless Rechargeable Sensor Networks, in which mobile chargers ( M C s) are employed to recharge the sensor nodes, have attracted wide attention in recent years. …”
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