Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) is a monthly peer-reviewed scopus indexed journal originally founded in 1986. It is sponsored by the Ministry of Education, china and Northeastern University, china. Kongzhi yu Juece/Control and Decision (ISSN:1001-0920) has always adhered to the correct purpose of running the journal, and has been committed to gathering and disseminating excellent academic achievements, inspiring technological innovation, and promoting the development of disciplines in my country.Aiming at major national needs and international frontiers, this journal has published a large number of original and high-level research result. The journal was selected into the "China Science and Technology Journal Excellence Action Plan Project" in December 2019.In the future, it will strive to build an open innovation, collaborative integration.
Brain stroke occurs because of blockage in the artery which deliver oxygenated blood to the brain. Acute Ischemic Stroke (AIS) is mostly occurred brain stroke. Early detection of brain stroke can be life saving for patient. For study of brain tumor detection and segmentation, MRI Images are mostly used in recent years. Due to MRI Images we can detect the brain tumor. A brain MRI can help to analyze bleeding, tumors, infections, damage from an injury or a stroke, or problems with the blood vessels inside the brain. Using the proposed algorithm, automatic brain stroke detection is possible in th
Around forty percent of the world's oil reserves are located in carbonate rocks. Recoveries from waterflooding are poor in these reservoirs, making them prime targets for EOR techniques. Surfactant flooding is one form of chemically enhanced oil recovery (CEOR) that can improve production from these reservoirs by lowering interfacial tension (IFT) and altering wettability. This research was aimed at discovering how ionic liquids (ILs), a novel class of surfactants, might affect wettability and how they can be used to decrease interfacial tension (IFT). Pendant drop and contact angle experiment
Technological growth is targeted at advancing society to higher sophistication with ease. The birth and advances of the Internet to ease sharing of resources can be attributed to features such as its ease of use, low transaction cost, ubiquitous nature, and user-trust level in adoption. These feats, while advancing its popularity and adoption, also threaten data integrity with a rise in the birth of adversaries. Thus, the quest of detecting intrusion and provisioning countermeasures is now a continuous task. Our study advances a memetic deep-learning modular neural network to detect phishing a
Mobility, ease of accessibility, and portability have continued to grant ease in the adoption rise of smartphones; while, also proliferating the vulnerability of users that are often susceptible to phishing. With some users classified to be more susceptible than others resulting from media presence and personality traits, many studies seek to unveil lures and cues as employed by these attacks that make them more successful. Web content has been often classified as genuine and malicious. The study seeks to effectively identify cues and lures that will help users classify content as malicious in
Our investigation aims to examine the potential and capability of gallium Nitride nanocage (Ga12N12) to detect and adsorb BMSF-BENZ molecular. So, we assumed different configurations for the adsorbing of BMSF-BENZ drug on the surface of this nanocage. All configurations were optimized using Density Functional Theory at lanl2dz basis set with M06-2X, WB97XD levels of theory, then we selected the sites of the active atoms (Nitrogen atoms, Oxygen atoms, and Sulfur atom) to be adsorbed by the nanocage. The results obtained from adsorption energy, hardness-softness, and fermi energy showed that the