الرئيسية › دليل الباحثين › Saïd Achchab
Saïd Achchab
الانتماء : Mohammed V University
- 42منشورات (انتماء مغربي)
- 55مجموع المنشورات
- 413الاستشهادات
- 11مؤشر h
الملف البحثي
لدى Saïd Achchab 42 منشور(ات) مفهرسة (2002–2026). تُنشر أعماله أساسًا في «Zenodo (CERN European Organization for Nuclear Research)»، «International Conference on Logistics Operations Management (GOL)» و«International Conference on Industrial Engineering and Operations Management (IEOM)». أكثر مقالاته استشهادًا هو «Comparative analysis of short-term demand predicting models using ARIMA and deep learning» (2021)، وقد استُشهد به 45 مرة. 10 من هذه المنشورات تعود إلى آخر ثلاث سنوات من النشاط. شارك في تأليف أعماله 12 باحثًا على الأقل.
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إنشاء ملفي المجاني إضافة منشوراتيمجالات البحث
- Stock Market Forecasting Methods
- Forecasting Techniques and Applications
- Supply Chain and Inventory Management
- Financial Markets and Investment Strategies
- Neural Networks and Applications
المنشورات (42)
- Sentiment as a Brake, Not a Signal: A Profit-at-Risk and Placebo Attribution of Affective Features in Equity Trading Systems
- Replication package: reaction, not anticipation — macroeconomic and monetary-policy predictors of seven U.S. stock indices
- Supplementary Materials S1–S7
- Stock market liquidity: hybrid deep learning approaches for prediction
- Liquidity Risk Management in Islamic Banks: Review of the Literature and Future Research Perspectives
- Predictive Hiring and AI: Elevating Recruitment with Optimized Neural Networks and Gradient Descent
- Efficient Optimization of Neural Networks for Predictive Hiring : An In-Depth Approach to Stochastic Gradient Descent
- Hybrid Deep Learning Perspective on Stock Market Liquidity Prediction in the MENA Region
- Predicting Stock Prices Based on Sentiment Analysis and Machine Learning Techniques: A literature Review
- AutoML Driven LSTM and Stock Price Prediction Effectiveness: A New Frontier for Volatile Stock Markets.
- Hybrid Discriminant Neural Networks for Performance Job Prediction
- Use of Artificial Intelligence in Human Resource Management: “Application of Machine Learning Algorithms to an Intelligent Recruitment System”
- Automated machine learning: the new data science challenge
- Comparative analysis of short-term demand predicting models using ARIMA and deep learning
- Artificial Intelligence Use in Human Resources Management: Strategy and Operation’s Impact
- Stock Market prediction on High frequency data using Long-Short Term Memory
- A hybrid neural network model based an improved PSO and SA for bankruptcy prediction
- Machine Learning Applications in Supply Chains: Long Short-Term Memory for Demand Forecasting
- Topology design of bankruptcy prediction neural networks using Particle swarm optimization and backpropagation
- Financial Early Warning System Model Based on Neural Networks, PSO and SA Algorithms
- Information Sharing as a Coordination Tool in Supply Chain Using Multi-agent System and Neural Networks
- Improving Coordination in Supply Chain Using Artificial Neural Networks and Multi-agent Approach
- Machine learning applications in supply chains: An emphasis on neural network applications
- A Combination of Regression Techniques and Cuckoo Search Algorithm for FOREX Speculation
- The impact of payment delays on bankruptcy prediction: A comparative analysis of variables selection models and neural networks
- The Comparison of Neural Networks’ Structures for Forecasting
- Hybrid Discriminant Neural Networks for Bankruptcy Prediction and Risk Scoring
- Configuration of daily demand predicting system based on neural networks
- Coordination by sharing demand forecasts in a supply chain using game theoretic approach
- Artificial neural networks for demand forecasting: Application using Moroccan supermarket data
- A hybrid Deep belief network approach for Financial distress prediction
- Towards a Context-aware Framework for Assessing and Optimizing Data Quality Projects
- The impact of data accuracy on user-perceived business service's quality
- Game theory to control logistic costs in a two-echelon supply chain
- Stochastic Model Predictive Control for costs optimization in a supply chain under a stochastic demand
- Sharing demand forecasts in a basic supply chain using game theory
- Combined optimization of shipping and storage costs in a multi-product and multi-level supply chain, under a stochastic demand
- Optimization of warehousing and transportation costs, in a multi-product multi-level supply chain system, under a stochastic demand
- Some remarks about the hierarchical a posteriori error estimate
- Upper Bound of the Constant in Strengthened C.B.S. Inequality for Systems of Linear Partial Differential Equations
- Estimateur hiérarchique robuste pour un problème de perturbation singulière
- On a posteriori error estimator for primal, equilibrium and mixed approximation of diffusion equations
مجلات النشر
- Zenodo (CERN European Organization for Nuclear Research) × 3
- International Conference on Logistics Operations Management (GOL) × 3
- International Conference on Industrial Engineering and Operations Management (IEOM) × 2
- Lecture notes in networks and systems × 2
- International Journal of Power Electronics and Drive Systems/International Journal of Electrical and Computer Engineering × 2
- Procedia Computer Science × 2
المنشورات حسب السنة
- 20263
- 20251
- 20246
- 20231
- 20222
- 20212
- 20201
- 20191
- 20185
- 20174
التعاون العلمي
المؤسسات الشريكة : Mohamed I University · Institut Supérieur de Commerce et d'Administration des Entreprises · Université Hassan 1er · Ecole Mohammadia d'Ingénieurs · National School of Mineral Industry
المؤلفون المشاركون
- Ilham Slimani
- Younès Lahrichi
- Temsamani Khallouk Yassine
- Halima Bousqaoui
- Fatima Zahra Azayite
- Ilhame El Farissi
- Kawtar Tikito
- Boujemâa Achchab
- Mariam Ait Al
- Youssef Benadada
- Abdelkhaleq El Haddad
- Rachid Ellaia
البيانات البيبليوغرافية مصدرها OpenAlex (قاعدة مفتوحة).
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