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| 1 | Fuzzy rule-based expert system for power system fault diagnosis显示文摘 | Monsef H Ranjbar A M Jadid S | 1997 | IEE Proceedings General Transmission and Distribution1997，144，2： | 1 |
| 2 | Fuzzy rule-based expert system for power system fault diagnosis显示文摘 | Monsef H Ranjbar A M Jadid S | 1997 | IEE Proc-Gener1997，144，18： | 1 |
| 3 | A hierarchical decision making model for the prioritization of distributed generation technologies: a case study for lran显示文摘 | Zangeneh A Jadid S Rahimi-Kian A | 2009 | Energy Policy2009，，37： | 1 |
| 4 | Day-ahead price fore- casting in restructured power systems using artificial neu- ral networks显示文摘 | Vahidinasab V Jadid S Kazemi A | 2008 | Electric Power Systems Research2008，78，8： | 1 |
| 5 | The role of demand response in single and multi-objective wind-thermal generation scheduling: astochasticprogramming显示文摘 | Hananeh Falsafi Alireza Zakariazadeh Shahram Jadid | 2014 | Energy2014，64，64： | 1 |
| 6 | An approach for production enhancement opportunities in a Brownfield redevelopment plan显示文摘 | Cuauro A Ali M I Jadid M B | 2006 | SPE 1014912006，，： | 1 |
| 7 | Fuzzy Rule -based Expert System for Power System Fault Diagnosis 显示文摘 | Monsef H Ran Jbar A M Jadid S | 1997 | IEEE Proceedings - Gener Transm and Distrb1997，144，2： | 1 |
| 8 | A Novel Wrapper-Based Optimization Algorithm for the Feature Selection and Classification显示文摘Machine learning(ML)practices such as classification have played a very important role in classifying diseases in medical science.Since medical science is a sensitive field,the pre-processing of medical data requires careful handling to make quality clinical decisions.Generally,medical data is considered high-dimensional and complex data that contains many irrelevant and redundant features.These factors indirectly upset the disease prediction and classification accuracy of any ML model.To address this issue,various data pre-processing methods called Feature Selection(FS)techniques have been presented in the literature.However,the majority of such techniques frequently suffer from local minima issues due to large solution space.Thus,this study has proposed a novel wrapper-based Sand Cat SwarmOptimization(SCSO)technique as an FS approach to find optimum features from ten benchmark medical datasets.The SCSO algorithm replicates the hunting and searching strategies of the sand cat while having the advantage of avoiding local optima and finding the ideal solution with minimal control variables.Moreover,K-Nearest Neighbor(KNN)classifier was used to evaluate the effectiveness of the features identified by the proposed SCSO algorithm.The performance of the proposed SCSO algorithm was compared with six state-of-the-art and recent wrapper-based optimization algorithms using the validation metrics of classification accuracy,optimum feature size,and computational cost in seconds.The simulation results on the benchmark medical datasets revealed that the proposed SCSO-KNN approach has outperformed comparative algorithms with an average classification accuracy of 93.96%by selecting 14.2 features within 1.91 s.Additionally,the Wilcoxon rank test was used to perform the significance analysis between the proposed SCSOKNN method and six other algorithms for a p-value less than 5.00E-02.The findings revealed that the proposed algorithm produces better outcomes with an average p-value of 1.82E-02.Moreover,potential future directions are also suggested as a result of the study’s promising findings. | Noureen Talpur Said Jadid Abdulkadir Mohd Hilmi Hasan Hitham Alhussian Ayed Alwadain | 2023 | Computers, Materials & Continua2023，，3： | 1 |
| 9 | Economic assessment methods for transmission network expansion planning in competitive environments显示文摘 | Saboori H Jadid S | 2010 | 18th Iranian Conference on Electrical Engineering (ICEE) Isfahan Iran2010，2010，： | 1 |
| 10 | Quali- ty of Life in males with spinal cord injury in Saudi Arabia 显示文摘 | MS AL - jadid AK AL - Asmari KR AL - Moutaery | 2004 | Saudi medical journal2004，25，12： | 1 |
| 11 | Fuzzy rule-based expert system for power system fault diagnosis显示文摘 | Monsef H Ranjbar A M Jadid S | 1997 | IEEE Proceedings-Generation Transmissinn and Distribution1997，144，2： | 1 |
| 12 | Quality of life in males with spinal cord injury in Saudi Arabia 显示文摘 | Jadid MS Asmari AK Moutaery KR | 2004 | Saudi Med J2004，25，： | 1 |
| 13 | Fuzzy rule-based expert system for power system fault diagnosis显示文摘 | MONSEF H RANJBAR A M JADID S | 1997 | IEE Proceedings:Generation Transmission and Distribution1997，144，2： | 1 |
| 14 | Fuzzy rule-basedexpert system for power system fault diagnosis显示文摘 | Monsef H Ranjbar A M Jadid S | 1997 | IEEE Proceedings-Generation Transmissinn and Distribution1997，144，2： | 1 |
| 15 | Quality of life in males with spinal cord injury in Saudi Arabia显示文摘 | Jadid M S Asmari A K Moutaery K R | 2004 | Saudi Med J2004，25，： | 1 |
| 16 | Optimal electrical and thermal energy management of a residential energy hub, integrating demand response and energy storage system显示文摘 | Brahman F Honarmand M Jadid S | 2015 | Energy and Buildings2015，90，3： | 1 |
| 17 | Integrated scheduling of renewable generation and demand response programs in a microgrid显示文摘 | Mazidi M Zakariazadeh A Jadid S | 2014 | Energy Conversion and Management2014，，86： | 1 |
| 18 | The role of demand response in single and multi-objective wind-thermal generation scheduling: a stochastic programming显示文摘 | Falsafi H Zakariazadeh A Jadid S | 2014 | Energy2014，，64： | 1 |
| 19 | Study of stochastic sequence-dependent flexible flow shop via developing a dispatching rule and a hybrid GA显示文摘 | KIANFAR K GHOMI S JADID A | 2012 | Engineering Applications of Artificial Intelligence2012，25，3： | 1 |
| 20 | The effects of different rehabilitation strategies on the functional recov- ery of spinal cord injured rats: an experimental study显示文摘 | Robert AA A1 Jadid MS Bin Afif S et aL | 2010 | Spine (Phila Pa 1976)2010，35，23： | 1 |
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