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Causal Inference Review

Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang

Engineering 2020, Volume 6, Issue 3,   Pages 253-263 doi: 10.1016/j.eng.2019.08.016

Abstract:

Causal inference is a powerful modeling tool for explanatory analysis, which might enable currentHow to marry causal inference with machine learning to develop eXplainable Artificial Intelligence (XAIaspects of causal inference.Kun Kuang, "Attribution problems in counterfactual inference" from Prof.Wang Miao, and "Causal inference with interference" from Dr. Zhichao Jiang.

Keywords: Causal inference     Instructive variables     Negative control     Causal reasoning and explanation     Causal discovery     Counter factual inference     Treatment effect estimation    

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Frontiers of Mechanical Engineering 2013, Volume 8, Issue 4,   Pages 429-442 doi: 10.1007/s11465-013-0277-3

Abstract: voltage and feed rate on material removal rate (MRR) and surface roughness (SR) the adaptive neuro-fuzzy inference

Keywords: electrochemical machining process (ECM)     modeling     adaptive neuro-fuzzy inference system (ANFIS)     optimization    

Effect of counter current gas phase on liquid film

Shujuan LUO, Huaizhi LI, Weiyang FEI, Yundong WANG

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 2,   Pages 135-137 doi: 10.1007/s11705-009-0129-1

Abstract: The effect of counter current gas phase on the liquid film was taken into consideration.increased by 57% because of increasing liquid flow rate, while it decreased by 25% resulting from the counter

Keywords: counter current     liquid film     two phases     structured packings    

Development of a cloud condensation nuclei (CCN) counter using a laser and charge-coupled device (CCD

Mikyung PARK, Jinkwan OH, Kihong PARK

Frontiers of Environmental Science & Engineering 2011, Volume 5, Issue 3,   Pages 313-319 doi: 10.1007/s11783-011-0346-y

Abstract: A continuous flow streamwise thermal gradient cloud condensation nuclei (CCN) counter with an aerosolevaluated by comparing its measured number concentrations with those measured with a condensation particle counterThe CCN counter worked well in the particle number concentration range of 0.6–8000 #·cm and the minimumThe supersaturation in the CCN counter with varying temperature difference was determined by using size-selectedThe developed CCN counter was applied to investigate CCN activity of atmospheric ultrafine particles

Keywords: aerosol     cloud condensation nuclei (CCN) counter     ultrafine particle    

Thermodynamic performance experiment and cooling number calculation of a counter-flow spray humidifier

WANG Yuzhang, LI Yixing, WENG Shilie, WANG Yonghong

Frontiers in Energy 2008, Volume 2, Issue 1,   Pages 43-47 doi: 10.1007/s11708-008-0005-6

Abstract: An experimental investigation of the thermodynamic performance of a counter-flow spray humidifier was

Keywords: temperature increment     counter-flow     experimental investigation     temperature     water-gas    

falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference

Frontiers of Structural and Civil Engineering   Pages 812-826 doi: 10.1007/s11709-023-0940-7

Abstract: ., a genetic algorithm (GA)-optimized adaptive neuro-fuzzy inference system (ANFIS-GA), to predict Y1

Keywords: falling weight deflectometer     modulus of subgrade reaction     elastic modulus     metaheuristic algorithms    

Finite element modeling of counter-roller spinning for large-sized aluminum alloy cylindrical parts

Dawei ZHANG, Fan LI, Shuaipeng LI, Shengdun ZHAO

Frontiers of Mechanical Engineering 2019, Volume 14, Issue 3,   Pages 351-357 doi: 10.1007/s11465-019-0528-z

Abstract: Counter-roller spinning (CRS), where the mandrel is replaced by rollers, is an effective means of manufacturing

Keywords: large-sized cylindrical part     counter-roller spinning     aluminum alloy     finite element method     distributed    

The Development Situation, Future and Counter Measures of Remanufacturing Industry in China

Wen-qiang Liu,Jun-yuan Mo,Cheng-kui Gu

Frontiers of Engineering Management 2016, Volume 3, Issue 2,   Pages 123-131 doi: 10.15302/J-FEM-2016021

Abstract: Currently, resource supply and demand contradiction, and over-loaded environment capacity have become a bottleneck for sustainable economic development in China. Electro-mechanical products are approaching a peak of obsolescence, and massive abandoned electro-mechanical products are causing severe environmental pollution, huge waste of resources and potential safety hazard. Remanufacturing is repairing or modifying worn mechanical products using high-tech method, which buffers the contradiction between wasting and shortage of resources, and brings industry towards a comprehensive utilization of resource and environmental protection. As a new strategic industry, remanufacturing, which is highly coherent with the development strategy of the circular economy, is still in its infancy in China. This paper analyzes the developmental trends and problems of the remanufacturing industry in China, and proposes promoting measures based on the engineering practices of remanufacturing.

Keywords: remanufacturing     industry     measures     development    

Application of high-speed counter-current chromatography coupled with high performance liquid chromatography

Shengguo DENG, Zeyuan DENG, Yawei FAN, Jing LI, Rong LIU, Dongmei XIONG,

Frontiers of Chemical Science and Engineering 2009, Volume 3, Issue 4,   Pages 375-382 doi: 10.1007/s11705-009-0247-9

Abstract: D-xylopyranosyl (1→2)-β-D-glucopyranoside was separated and purified by semi-preparative high-speed counter-current

Keywords: two-phase-solvent     flavonoid glycoside     high-speed counter-current     macroporous     counter-current chromatography    

An efficient counter-based Wallace-tree multiplier with a hybrid full adder core for image blending Research Articles

Ayoub SADEGHI, Nabiollah SHIRI, Mahmood RAFIEE, Mahsa TAHGHIGH

Frontiers of Information Technology & Electronic Engineering 2022, Volume 23, Issue 6,   Pages 950-965 doi: 10.1631/FITEE.2100432

Abstract:

We present a new -based Wallace-tree (CBW) 8×8 . The ‍’‍s s are implemented with a new hybrid (FA) cell, which is based on the (TG) technique. The proposed FA, TG-based AND gate, and hybrid half adder (HA) generate :3 (4≤≤7) digital s with the ability to save at least 50% area occupation. Simulations by 90 nm technology prove the superiority of the proposed FA and digital s under different conditions over the state-of-the-art designs. By using the proposed cells, the CBW exhibits high driving capability, low power consumption, and high speed. The CBW has a 0.0147 mm die area in a pad. The post-layout extraction proves the accuracy of experimental implementation. An mechanism is proposed, in which a direct interface between MATLAB and HSPICE is used to evaluate the presented CBW in image processing applications. The peak signal-to-noise ratio (PSNR) and structural similarity index metric (SSIM) are calculated as image quality parameters, and the results confirm that the presented CBW can be used as an alternative to designs in the literature.

Keywords: Full adder     Transmission gate     Counter     Multiplier     Three-dimensional layout     Image blending    

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Frontiers of Structural and Civil Engineering 2021, Volume 15, Issue 1,   Pages 61-79 doi: 10.1007/s11709-020-0684-6

Abstract: This study investigates several novel hybrid adaptive neuro-fuzzy inference system (ANFIS) evolutionary

Keywords: foamed concrete     adaptive neuro fuzzy inference system     nature-inspired algorithms     prediction of compressive    

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Frontiers of Structural and Civil Engineering 2017, Volume 11, Issue 1,   Pages 111-122 doi: 10.1007/s11709-016-0354-x

Abstract: In this research, discharge coefficient of weir-gate was predicated using adaptive neuro fuzzy inference

Keywords: weir-gate     soft computing     crest geometry     circular crest weir     cylindrical shape    

from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzy inference

J. Sargolzaei, A. Hedayati Moghaddam

Frontiers of Chemical Science and Engineering 2013, Volume 7, Issue 3,   Pages 357-365 doi: 10.1007/s11705-013-1336-3

Abstract: network (BPNN), a radial basis function neural network (RBFNN) and an adaptive-network-based fuzzy inference

Keywords: oil recovery     artificial intelligence     extraction     neural networks     supercritical extraction    

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Frontiers of Information Technology & Electronic Engineering 2016, Volume 17, Issue 5,   Pages 389-402 doi: 10.1631/FITEE.1500385

Abstract: Accurate home location is increasingly important for urban computing. Existing methods either rely on continuous (and expensive) Global Positioning System (GPS) data or suffer from poor accuracy. In particular, the sparse and noisy nature of social media data poses serious challenges in pinpointing where people live at scale. We revisit this research topic and infer home location within 100 m×100 m squares at 70% accuracy for 76% and 71% of active users in New York City and the Bay Area, respectively. To the best of our knowledge, this is the first time home location has been detected at such a fine granularity using sparse and noisy data. Since people spend a large portion of their time at home, our model enables novel applications. As an example, we focus on modeling people’s health at scale by linking their home locations with publicly available statistics, such as education disparity. Results in multiple geographic regions demonstrate both the effectiveness and added value of our home localization method and reveal insights that eluded earlier studies. In addition, we are able to discover the real buzz in the communities where people live.

Keywords: Home location     Mobility patterns     Healthcare    

Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Strategic Study of CAE 2005, Volume 7, Issue 6,   Pages 57-60

Abstract: Developing fault diagnosis expert system for production line, the principle and method of structuring fuzzy inference

Keywords: fault diagnosis     expert system     fuzzy inference    

Title Author Date Type Operation

Causal Inference

Kun Kuang, Lian Li, Zhi Geng, Lei Xu, Kun Zhang, Beishui Liao, Huaxin Huang, Peng Ding, Wang Miao, Zhichao Jiang

Journal Article

Application of adaptive neuro-fuzzy inference system and cuckoo optimization algorithm for analyzing

Reza TEIMOURI, Hamed SOHRABPOOR

Journal Article

Effect of counter current gas phase on liquid film

Shujuan LUO, Huaizhi LI, Weiyang FEI, Yundong WANG

Journal Article

Development of a cloud condensation nuclei (CCN) counter using a laser and charge-coupled device (CCD

Mikyung PARK, Jinkwan OH, Kihong PARK

Journal Article

Thermodynamic performance experiment and cooling number calculation of a counter-flow spray humidifier

WANG Yuzhang, LI Yixing, WENG Shilie, WANG Yonghong

Journal Article

falling weight deflectometer parameters using hybrid model of genetic algorithm and adaptive neuro-fuzzy inference

Journal Article

Finite element modeling of counter-roller spinning for large-sized aluminum alloy cylindrical parts

Dawei ZHANG, Fan LI, Shuaipeng LI, Shengdun ZHAO

Journal Article

The Development Situation, Future and Counter Measures of Remanufacturing Industry in China

Wen-qiang Liu,Jun-yuan Mo,Cheng-kui Gu

Journal Article

Application of high-speed counter-current chromatography coupled with high performance liquid chromatography

Shengguo DENG, Zeyuan DENG, Yawei FAN, Jing LI, Rong LIU, Dongmei XIONG,

Journal Article

An efficient counter-based Wallace-tree multiplier with a hybrid full adder core for image blending

Ayoub SADEGHI, Nabiollah SHIRI, Mahmood RAFIEE, Mahsa TAHGHIGH

Journal Article

Simulation of foamed concrete compressive strength prediction using adaptive neuro-fuzzy inference system

Ahmad SHARAFATI, H. NADERPOUR, Sinan Q. SALIH, E. ONYARI, Zaher Mundher YASEEN

Journal Article

Predication of discharge coefficient of cylindrical weir-gate using adaptive neuro fuzzy inference systems

Abbas PARSAIE,Amir Hamzeh HAGHIABI,Mojtaba SANEIE,Hasan TORABI

Journal Article

from supercritical extraction using artificial neural networks and an adaptive-network-based fuzzy inference

J. Sargolzaei, A. Hedayati Moghaddam

Journal Article

Home location inference from sparse and noisy data: models and applications

Tian-ran HU,Jie-bo LUO,Henry KAUTZ,Adam SADILEK

Journal Article

Study of Dynamic Fuzzy Inference Mechanism of Fault Diagnosis Expert System for Production Line

Tan Li,Liu Jin,Mei Liting

Journal Article