Papers by MJ Cell Press Cell Press
MJ Engineering Sciences, 2025
The growing integration of IoT sensor networks in industrial environments has introduced critical... more The growing integration of IoT sensor networks in industrial environments has introduced critical cybersecurity concerns, necessitating more advanced and proactive risk anticipation methods. This study presents a hybrid predictive model that combines mathematical optimization techniques with deep neural network (DNN) architectures to forecast and mitigate ICT-related threats in industrial IoT systems. The mathematical component employs statistical analysis and graph-based modeling to assess vulnerabilities and evaluate potential risks. In parallel, the DNN analyzes temporal and behavioral patterns within sensor data to enhance threat recognition. This dual-approach model not only increases the accuracy of threat identification but also significantly reduces the rate of false positives, a persistent issue in conventional cybersecurity systems. Tested on real-world industrial datasets, the model demonstrates superior performance compared to existing approaches, particularly in terms of precision and reliability in risk anticipation. Its ability to adapt to dynamic and complex IoT network conditions further reinforces its relevance and robustness in modern industrial settings. By integrating the analytical strengths of mathematical modeling with the pattern recognition capabilities of deep learning, this framework offers a scalable and intelligent solution for industrial cybersecurity. It addresses current limitations in threat prediction and contributes to the development of more resilient, secure, and autonomous industrial
Multidisciplinaris, 2025
Probiotics Isolation Characterization Cameroon. Nowadays, there is a rise in the prevalence of ca... more Probiotics Isolation Characterization Cameroon. Nowadays, there is a rise in the prevalence of cardiometabolic diseases and the phenomena of multiple antibiotics resistance in humans and animals. For these reasons, consumers' interest towards natural products for the management of health issues has increased worldwide. The sector of probiotics which stands as a safe and efficient example of these natural products is currently of growing interest. Indeed, probiotics are microorganisms with demonstrated safety issues for which consumption is associated to positive effects on the host's health. There are several studies Multidisciplinaris
MJ Engineering Sciences, 2025
Clarification, Laterite suspension, Mixed/coat filter, Limestone/pozzolan. Coagulation and floccu... more Clarification, Laterite suspension, Mixed/coat filter, Limestone/pozzolan. Coagulation and flocculation are essential in water clarification but rely on costly chemical reagents that can leave harmful residues and generate polluting sludge. This study aims to evaluate and compare the effectiveness of bilayer (limestone/pozzolan) and mixed (homogeneous blend) filters for clarifying lateritic suspensions. A suspension with 30 ± 1 NTU turbidity and pH 6.00 ± 0.05 was prepared. Filters were composed of pozzolan and limestone granules (1-2 mm) and characterized by porosity, permeability, bed surface area, and Reynolds number. Flow behavior was determined using a 1 M glucose solution. The bilayer and mixed filters showed porosities of 67.24% and 62.49%, permeabilities of 3.51×10⁻⁷ and 5.73×10⁻⁷ m², and bed surface areas of 2911.99 and 3334.22 m², respectively. Reynolds numbers were 1.42 and 1.75, indicating piston flow in both systems. The mixed filter achieved 65% turbidity removal, outperforming the bilayer filter's 50%, and had a lower pressure drop (780 Pa vs. 820 Pa). These results suggest that the mixed filter offers better performance and efficiency, making it a promising alternative for the clarification of lateritic suspensions.
MJ Engineering Sciences, 2025
The aim of this work is to optimize the alkaline hydrolysis of rice straw lignocellulose using ka... more The aim of this work is to optimize the alkaline hydrolysis of rice straw lignocellulose using kanwa, with the goal of producing bioethanol. The alkaline pretreatment was carried out using a saline rock from North Cameroon (kanwa) under the following experimental conditions: temperature between 170 and 200°C, and duration between 20 and 60 minutes. Characterization revealed that the local material contained 91.75 ± 0.48% dry matter, 8.25 ± 0.48% water, 31.22 ± 2.04% cellulose, 9.92 ± 2.46% lignin, and 17.72 ± 0.51% hemicellulose. The optimization design (central composite design) used to validate the reducing sugar models was based on the following indicators: Adjusted R² (99.36), AADM (12%), Bf (1.004), and Af (1.049). The optimal pretreatment conditions were 1.681,-1, and 0.808 in terms of temperature, time, and kanwa concentration, resulting in the maximum extraction of 49% cellulose, 2.4% hemicellulose, and 19.3% lignin. A concentration of 4.50 ± 0.02 mg/mL of reducing sugars was obtained under the conditions of 55°C for 72 hours, followed by centrifugation at 4000 rpm for 15 minutes. This resulted in an ethanol yield of 32% and a lower calorific value of 9184 ± 0.01 J/g.
Books by MJ Cell Press Cell Press
MJ Engineering Sciences, 2025
Wind Turbine, Optimization, Vortex method, Aerodynamic performance. Current wind turbine optimiza... more Wind Turbine, Optimization, Vortex method, Aerodynamic performance. Current wind turbine optimization studies primarily employ either the Blade Element Method (BEM) or Computational Fluid Dynamics (CFD) to evaluate rotor aerodynamic performance. While BEM remains widely used due to its simplicity and low computational cost, it depends heavily on empirical correction factors that can limit its accuracy in complex flow conditions. Conversely, although CFD provides highly accurate results by solving the Navier-Stokes equations, it is computationally expensive and often impractical for large-scale parametric studies. Vortex methods-particularly the prescribed wake method-offer a promising compromise, balancing computational efficiency with acceptable levels of accuracy. In the present study, we propose a novel wind turbine blade model derived through a multiobjective optimization of the blade's geometric parameters, specifically chord distribution and twist angle. The aerodynamic performance of the optimized blade is evaluated using an enhanced prescribed wake model. Aerodynamic noise is estimated using Brooks' empirical method, while the blade production cost is calculated using Zudong's cost model. The resulting blade design demonstrates a 3% increase in power output, a 0.02 dB reduction in noise emissions, and a marginal 1.2% increase in production cost. These findings suggest that moderate improvements in performance and environmental impact can be achieved through geometry-based optimization without substantial cost penalties.
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Papers by MJ Cell Press Cell Press
Books by MJ Cell Press Cell Press