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  • Open Access

    ARTICLE

    Implementation of Artificial Intelligence Based Analyzer Using Multi-Agent System Approach

    Norah S. Farooqi1, Mohamed O. Khozium2,*

    Intelligent Automation & Soft Computing, Vol.31, No.1, pp. 297-309, 2022, DOI:10.32604/iasc.2022.019060

    Abstract Using Business Intelligence (BI) applications is a critical factor for modern enterprises’ success. BI is one of the key components that persistently required for the modern high-tech companies and industries were used to handle huge amounts of data in every minute of the operations. The existing literature suggested that the lack of dynamic decision making, accuracy, and the degree of flexibility are the key limitations for handling the operational data. Many industries and companies adopted the software-based solution; however, the intelligence is there due to the dependence of the operational engagement for each of the sectors. Therefore, artificial intelligence business… More >

  • Open Access

    REVIEW

    Heavy Metal Remediation in Sludge Compost: Recent Progress

    Rongwei Xiong1,#, Xiufang Gao1,2,#,*, Xinyue Tu3, Yilin Mao1, Li Jiang1, Lu Zheng3, Yitong Du3

    Journal of Renewable Materials, Vol.10, No.2, pp. 469-486, 2022, DOI:10.32604/jrm.2022.017226

    Abstract The safe and efficient disposal and utilization of sludge are major issues to be solved in solid waste treatment and environmental protection due to the complex characteristics of sludge and the low rate of innocuous treatments. Composting is a process of decomposing organic matter and transformed low-molecular organic acids into high-molecular humus substances under the action of microorganisms. Although land-use after composting has become an important direction for sludge treatment, heavy metal pollution is still the bottleneck problem restricting land use of sludge compost. Adding zeolite, hydroxyapatite, and other conditioning agents to the composting process affects the concentration or form… More >

  • Open Access

    ARTICLE

    Modeling Habit Patterns Using Conditional Reflexes in Agency

    Qura-Tul-Ain Khan1, Taher M. Ghazal2,3, Sagheer Abbas1, Wasim Ahmad Khan1, Muhammad Adnan Khan5,6, Raed A. Said4, Munir Ahmad1, Muhammad Asif1,*

    Intelligent Automation & Soft Computing, Vol.30, No.2, pp. 539-552, 2021, DOI:10.32604/iasc.2021.018888

    Abstract For decision-making and behavior dynamics in humans, the principal focus is on cognition. Cognition can be described using cognitive behavior, which has multiple states. This cognitive behavior can be incorporated with one of the internal mental states’ help, which includes desires, beliefs, emotions, intentions, different levels of knowledge, goals, skills, etc. That leads to habit development. Habits are highly refined patterns formed in the unconscious that evolve from conscious skill patterns in the human, and the same process can be implemented in the agency. These habit patterns are the outcomes of many internal values that may vary due to variations… More >

  • Open Access

    ARTICLE

    Discontinuous-Galerkin-Based Analysis of Traffic Flow Model Connected with Multi-Agent Traffic Model

    Rina Okuyama1, Naoto Mitsume2, Hideki Fujii1, Hideaki Uchida1,*

    CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 949-965, 2021, DOI:10.32604/cmes.2021.015773

    Abstract As the number of automobiles continues to increase year after year, the associated problem of traffic congestion has become a serious societal issue. Initiatives to mitigate this problem have considered methods for optimizing traffic volumes in wide-area road networks, and traffic-flow simulation has become a focus of interest as a technique for advance characterization of such strategies. Classes of models commonly used for traffic-flow simulations include microscopic models based on discrete vehicle representations, macroscopic models that describe entire traffic-flow systems in terms of average vehicle densities and velocities, and mesoscopic models and hybrid (or multiscale) models incorporating both microscopic and… More >

  • Open Access

    ARTICLE

    Models for Predicting the Jet Trajectory and Intensity Drop Point of Fire Monitors

    Xiaojing Hou, Yongyou Cao*, Wenfeng Mao, Zheng Wang, Jiwu Yuan

    FDMP-Fluid Dynamics & Materials Processing, Vol.17, No.5, pp. 859-869, 2021, DOI:10.32604/fdmp.2021.015967

    Abstract Two models are defined for predicting the trajectory of a foam jet originating from a fire monitor (hydrant) and the related intensity drop point. An experimental framework is also defined and used accordingly to compare real-time data with the predictions of such models. This mixed theoretical-experimental approach is proven to be effective for the determination of otherwise unknown coefficients which take into account several important factors such as the operation pressure, the elevation angle and the nozzle diameter. It is shown that the mean absolute error is smaller than 20%. More >

  • Open Access

    REVIEW

    Yellow Vein Mosaic Disease in Okra (Abelmoschus esculentus L.): An Overview on Causal Agent, Vector and Management

    Mustansar Mubeen1, Yasir Iftikhar1,*, Aqleem Abbas2, Mazhar Abbas3, Muhammad Zafar-ul-Hye4, Ashara Sajid1, Faheema Bakhtawar1

    Phyton-International Journal of Experimental Botany, Vol.90, No.6, pp. 1573-1587, 2021, DOI:10.32604/phyton.2021.016664

    Abstract Okra (Abelmoschus esculentus L.) belongs to the Malvaceae family and is one of the most essential and popular vegetables globally. It is rich in proteins, carbohydrates, and vitamins. Abiotic and biotic factors threaten okra productivity. Okra yellow vein mosaic disease (OYVMD) is the most destructive disease of okra. The causal agent, [(i.e., Okra yellow vein mosaic virus (OYVMV)] of this disease belongs to the family Geminiviridae and genus Begomovirus. OYVMV is a monopartite with additional ssDNA molecule. This virus has two components DNA-A for protein coding and DNA-B for symptoms induction. Whitefly transmits OYVMV in persistent manner. Characteristic symptoms of… More >

  • Open Access

    ARTICLE

    Alcoholysis of Waste Polyurethane Rigid Foam and Its Modification with Lignin for Recovery

    Xiaohua Gu1,*, Shiwei Lyu1, Siwen Liu2

    Journal of Renewable Materials, Vol.9, No.11, pp. 1913-1926, 2021, DOI:10.32604/jrm.2021.015400

    Abstract A bi-component alcoholysis agent containing propylene glycol (PG) and ethanolamine (ETA) was used to catalyst the degradation of the waste polyurethane rigid foam. The oligomer polyols obtained through degradation were used as raw materials to produce recycled polyurethane rigid foam composites with lignin as reinforcing filler. The effect of alcoholysis mass ratio on degradation was investigated by analyzing the viscosity, hydroxyl content and chemical structure of the degradation products. The effect of lignin addition on the properties of regenerated polyurethane rigid foam were investigated by analyzing water absorption rate, compressive strength, porosity, thermal stability, thermal conductivity coefficient, morphology and thermal… More >

  • Open Access

    ARTICLE

    Potentiality of Different Seed Priming Agents to Mitigate Cold Stress of Winter Rice Seedling

    Md. Parvez Anwar1,*, Md. Ariful Islam Khalid1, A. K. M. Mominul Islam1, Sabina Yeasmin1, Sharif Ahmed2, Adel Hadifa3, Ismail A. Ismail4, Akbar Hossain5, Ayman EL Sabagh6,*

    Phyton-International Journal of Experimental Botany, Vol.90, No.5, pp. 1491-1506, 2021, DOI:10.32604/phyton.2021.015822

    Abstract Seed priming has proved to be an effective pre-germination seed invigoration technique for different crops to improve seed and seedling performance under different abiotic stresses. In Bangladesh, winter rice is very often exposed to cold waves just after sowing in the nursery bed resulting in poor seed germination and seedling emergence, yellowish and thin seedlings production, and a very low survival rate. Seed priming may mitigate the cold stress during seed germination and seedling emergence and helps in the quality seedling production of winter rice. To evaluate the efficacy of different seed priming techniques in increasing seedling emergence, growth, vigor… More >

  • Open Access

    ARTICLE

    Modelling Intelligent Driving Behaviour Using Machine Learning

    Qura-Tul-Ain Khan1, Sagheer Abbas1, Muhammad Adnan Khan2,*, Areej Fatima3, Saad Alanazi4, Nouh Sabri Elmitwally4,5

    CMC-Computers, Materials & Continua, Vol.68, No.3, pp. 3061-3077, 2021, DOI:10.32604/cmc.2021.015441

    Abstract In vehicular systems, driving is considered to be the most complex task, involving many aspects of external sensory skills as well as cognitive intelligence. External skills include the estimation of distance and speed, time perception, visual and auditory perception, attention, the capability to drive safely and action-reaction time. Cognitive intelligence works as an internal mechanism that manages and holds the overall driver’s intelligent system.These cognitive capacities constitute the frontiers for generating adaptive behaviour for dynamic environments. The parameters for understanding intelligent behaviour are knowledge, reasoning, decision making, habit and cognitive skill. Modelling intelligent behaviour reveals that many of these parameters… More >

  • Open Access

    ARTICLE

    Soil Fungal Community Structure Changes in Response to Different Long-Term Fertilization Treatments in a Greenhouse Tomato Monocropping System

    Xiaomei Zhang, Junliang Li, Bin Liang*

    Phyton-International Journal of Experimental Botany, Vol.90, No.4, pp. 1233-1246, 2021, DOI:10.32604/phyton.2021.014962

    Abstract Greenhouse vegetable cultivation (GVC) is an example of intensive agriculture aiming to increase crop yields by extending cultivation seasons and intensifying agricultural input. Compared with cropland, studies on the effects of farming management regimes on soil microorganisms of the GVC system are rare, and our knowledge is limited. In the present study, we assessed the impacts of different long-term fertilization regimes on soil fungal community structure changes in a greenhouse that has been applied in tomato (Solanum lycopersicum L.) cultivation for 11 consecutive years. Results showed that, when taking the non-fertilizer treatment of CK as a benchmark, both treatments of… More >

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