
Hybrid Computational Intelligent Systems-Modeling, Simulation and Optimization unearths the latest advances in evolving hybrid intelligent modeling and simulation of human-centric data-intensive applications optimized for real-time use thereby enabling researchers to come up with novel breakthroughs in this ever-growing field.
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the proposed framework encompasses the following: a) clustering filter- (based on power, rotor speed, blade pitch angle, and wind speed signals)-using the automatic clustering model and ant bee colony optimization algorithm (abc), b) prediction of gearbox bearing temperature and lubrication oil temperature signals- using variational mode
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22-05-2019This study aims to investigate the prediction of critical buckling load of steel columns using two hybrid Artificial Intelligence (AI) models such as Adaptive Neuro-Fuzzy Inference System optimized by Genetic Algorithm (ANFIS-GA) and Adaptive Neuro-Fuzzy Inference System optimized by Particle Swarm
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2020417Integrative/Hybrid Modeling Approaches for Studying Biomolecules J Mol Biol. 2020 Apr 17;432(9):2846-2860. doi: 10.1016/j.jmb.2020.01.039. Epub 2020 Feb 13. Authors Ashutosh Srivastava 1, Sandhya Premnath Tiwari 2, Osamu Miyashita 2, Florence Tama 3 Affiliations 1 Institute of Transformative Bio
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201951An improved multi-classifier ensemble modelling is proposed in this paper, which is applied to the soft measurement of ball mill load, and it can be found that the proposed method effectively improves the accuracy ofsoft measurement ofBall mill load. 6 Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
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08-12-2017PDF | This paper presents a new dynamic modeling approach for spindle bearing system supported by both angular contact ball bearing (ACBB) and floating | Find, read and cite all the research
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2017125A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities
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25-01-2017A new efficient hybrid intelligent approach based on fuzzy wavelet neural network (FWNN) was proposed for effectively modeling and simulating biodegradation process of Dimethyl phthalate (DMP) in an anaerobic/anoxic/oxic (AAO) wastewater treatment process. With the self learning and memory abilities
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This thesis generalizes the concept of mechatronics into a new concept called hybrid intelligent machine system. A hybrid intelligent machine system is a system where two or more elements combine to play at least one of the roles such as sensor, actuator, or control mechanism, and contribute to the system behaviour.
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In this paper, we propose a novel hybrid intelligent method, namely HISP ( H ybrid I ntelligent approach for identifying directed Signaling P athways), to determine both the topologies of signaling pathways and the direction of signaling flows within a pathway based on integer linear programming and genetic algorithm.
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Its failures are mainly caused by the gearbox bearings. Devising condition monitoring approaches for the gearbox bearings is an effective predictive maintenance measure that can reduce downtime and cut maintenance cost. In this paper, we propose a hybrid intelligent condition monitoring and fault warning system for wind turbine's gearbox.
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When the angle is changed from the horizontal position, gravity causes the ball to roll along the beam. A controller will be designed for this system so that the ball's position can be manipulated. System parameters. For this problem, we will assume that the ball rolls without slipping and friction between the beam and ball is negligible.
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Awasthi Y K received the B.Sc (Electronics) degree from Agra University, Agra, India in 1999, the M.Sc (Electronics and Computational Physics) degree from Agra University, Agra, India in 2001, in Electronics and Computational Physics and Ph.D. (RF and Microwave Engineering) from Delhi University, Delhi, in 2012.He was co-operative faculty in
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23-12-2019Abstract Mechanochemical approaches in an organic synthesis have received increased interest because of their wide applications in green methodologies. Ball milling has been fruitfully
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2014630The procedures to build a mechanism model for grade prediction are as follows. Firstly, give an estimation of the overall recovery. Then, find out the relationship between grade and recovery, with which
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22-05-2019Mainly the rotation speed of the ball mill, the size and number of the grinding body, the volume of the object to be polished, the grinding medium and the grinding time. Contents hide 1 1. the speed of the ball mill 2 2. the
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10-08-2020Debris floods, as one of the most significant natural hazards, often threaten the lives and property of many people worldwide. Predicting models are essential for flood warning systems to minimize casualties of debris floods. Since HEC-HMS (Hydrologic Engineering Centerrsquo;s Hydrological Modelling System) cannot simulate debris
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20191223Abstract Mechanochemical approaches in an organic synthesis have received increased interest because of their wide applications in green methodologies. Ball milling has been fruitfully
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30-06-2014The procedures to build a mechanism model for grade prediction are as follows. Firstly, give an estimation of the overall recovery. Then, find out the relationship between grade and recovery, with which
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20161019We recommend a mixture of 1:2:3 for ball mill and rod mill foundations. The proper water to sand ratio should be carefully regulated since excess water will tend to weaken the concrete even
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05-07-20201. It produces very fine powder (particle size less than or equal to 10 microns). 2. It is suitable for milling toxic materials since it can be used in a completely enclosed form. 3. Has a wide application. 4. It can
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Expanding Aspen Hybrid Models Democratize the application of AI to solve the process industry's most difficult problems: Address problems that cannot be solved with first principles models alone Build better models faster
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10-11-2013This study proposes a hybrid computational intelligence model that is a combination of alternating decision tree (ADTree) classifier and AdaBoost (AB) ensemble, namely "AB–ADTree", for groundwater spring
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20201021ML-based approaches, such as Kronecker-regularized least squares (KronRLS), evaluate the similarity between drugs and protein molecules to determine DTBA. Similarly, SimBoost utilized regression trees to predict DTBA, and considers both feature-based and similarity-based interactions.
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scribd ball mill theory and practice. ball mills theory pdf woneninschoonoord nl ball mills theory pdf ball mills theory pdf Hybrid Intelligent Modeling Approach for the Ball Mill Grinding Process ball mill grinding model with a neurofuzzy Inquiry scribd ball milling theory and practice srspropertiin Theory and Practice for U S Stoneware Theory and
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2021915This book constitutes the refereed proceedings of the 16th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2021, held in Bilbao, Spain, in September 2021. The 44 full
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17-04-2020Integrative/Hybrid Modeling Approaches for Studying Biomolecules J Mol Biol. 2020 Apr 17;432(9):2846-2860. doi: 10.1016/j.jmb.2020.01.039. Epub 2020 Feb 13. Authors Ashutosh Srivastava 1, Sandhya Premnath Tiwari 2, Osamu Miyashita 2, Florence Tama 3 Affiliations 1 Institute of Transformative Bio
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SBM ball mill is one of the new high efficient grinding machine,which is widely used in the in various types of stone grinding plant, ore benefication, electricity, cement and chemical industries.This new type ball mill with high comminution
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23-03-2022This approach is based on a hybrid numerical model of a 24-degree-of-freedom gearbox, simulating one gear train and two drive shafts. The impact forces of the mill drum are modelled by a discrete element method (DEM). The ball-filling rate ( Fr ), the mill speed ( Nr ), and the ball size ( Db) are considered to study this phenomenon.
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The Planetary Ball Mill PM 100 is a powerful benchtop model with a single grinding station and an easy-to-use counterweight which compensates masses up to 8 kg. It allows for grinding up to 220 ml sample material per batch. The extremely high centrifugal forces of Planetary Ball Mills result in very high pulverization energy and therefore short
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28-03-2018Methodology. In this review we adopt a state-of-art where 21 recent articles on CI methods for hydrogen production are collected from cited archival literature including Science Direct, IEEE and Springer. The papers are reviewed in terms of hydrogen production method, modeling technique (s) and the obtained result.
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Degradation process prediction for rotational machinery based on hybrid intelligent model. Robotics and Computer Integrated Manufacturing. 2012, 28, pp.190-207. [54] Tangbin Xia, Lifeng Xi, Xiaojun Zhou, Shichang Du, Modeling and Optimizing Maintenance Schedule for Energy Systems Subjectto Degradation, Computers Industrial Engineering, 2012, 63, pp.607-614
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Since the artificial intelligence has found successful in many applications, this paper intends to deploy the hybrid model with the combination of Group Search Optimisation (GSO) and Gravitational Search Algorithm (GSA) termed as Group Search with Gravitational Force (GSGF) model to meet demand-side management principles.
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HYBRID INTELLIGENT APPROACHES FOR SMART ENERGY Green technologies and cleaner energy are two of the most important topics facing our world today, and the march toward efficient energy systems, smart cities, and other green technologies, has been, and continues to be, a long and intricate one. Books like this one keep the veteran engineer
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Hydrocarbon Processing names Aspen Hybrid Models as "Best Modeling Technology" for 2021. Aspen Hybrid Models embed Industrial AI in the leading process simulators Aspen Plus and Aspen HYSYS, by combining process
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In this Special Issue, all submissions focused on new possible applications of hybrid intelligence for secure data processing and analysis, as well as innovative security technologies are welcome. The topics of interest for the special issue include, but are not limited to: Bio-inspired and perception models for security application
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01-05-2019An improved multi-classifier ensemble modelling is proposed in this paper, which is applied to the soft measurement of ball mill load, and it can be found that the proposed method effectively improves the accuracy ofsoft measurement ofBall mill load. 6 Mechanical fault diagnosis and prediction in IoT based on multi-source sensing data fusion
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Awasthi Y K received the B.Sc (Electronics) degree from Agra University, Agra, India in 1999, the M.Sc (Electronics and Computational Physics) degree from Agra University, Agra, India in 2001, in Electronics and Computational Physics and Ph.D. (RF and Microwave Engineering) from Delhi University, Delhi, in 2012.He was co-operative faculty in University of Delhi, New Delhi and he
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SIZE Molycop manufactures forged grinding balls for use in ball milling and regrind applications in nominal sizes from 1.0" to 4.0" in diameter. CHEMISTRY An individual chemical profile has been developed for each
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A Two-Phase Resource-Constrained Project Scheduling Approach for the Design and Development of Complex Product Systems - Acknowledgement of
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