… The overall description of the black hole attacks has been presented in … detection methods
over the MANET. The various attacks like a black hole, grey hole, war hole attacks detection …

… help of machine learning algorithms the intrusion detection systems … In this study six machine
learning modelled IDSs were … gives high detection rate in the detection of black hole attack …

… Damage detection in wood materials has numerous applications in different industries, such
… machine learning algorithms can be employed to overcome this problem. In this paper, hole-…

… This, however, can conceal downhole conditions such as cutting beds, tight holes, and …
machine to predict the continuous profile of the surface drilling torque to enable the detection of …

… are attracted by sink hole or black hole nodes while grabbing … This work proposes a hybrid
detection framework for attacks … machine learning technique used to raise attack detection …

… camera observations and vibration detection. Vision-based … the effective detection of road
damage using deep learning … ), and (3) machine learning together with feature engineering [12]…

We present a data-driven algorithm and mathematical model for anomaly alarming at directional
drilling. The algorithm is based on machine learning. It compares the real-time drilling …

… position holes on a PCB with a good detection performance than traditional hole detection
algo… Moreover, the significance of this paper is limited as it only focused on PCB holes, which …

… is challenging, especially the detection of Denial of Service (DoS) attacks. Machine learning
classification techniques have been used as an approach for DoS detection. This paper …

… aided in detection or estimation by the machine learning algorithms. An introduction to deep
… on pore pressure, equivalent circulation density and bottom hole circulating pressure are …