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Exploring Sequential Feature Selection in Deep Bi-LSTM Models for Speech Emotion Recognition

Computers, Materials & Continua 2024年第2期78卷 2689-2719页

作者： Fatma Harby Mansor Alohali Adel Thaljaoui amira samy Talaat Computer Science Department Future Academy-Higher Future Institute for Specialized Technological StudiesCairo12622Egypt Department of Computer Science and Information College of Science at Zulfi Majmaah UniversityP.O.Box 66Al-Majmaah11952Saudi Arabia Preparatory Institute for Engineering Studies of Gafsa ZarrougGafsa2112Tunisia Computers and Systems Department Electronics Research InstituteCairo12622Egypt

Machine Learning(ML)algorithms play a pivotal role in Speech Emotion Recognition(SER),although they encounter a formidable obstacle in accurately discerning a speaker’s emotional *** examination of the emotional states of speakers holds significant importance in a range of real-time applications,including but not limited to virtual reality,human-robot interaction,emergency centers,and human behavior *** identifying emotions in the SER process relies on extracting relevant information from audio *** studies on SER have predominantly utilized short-time characteristics such as Mel Frequency Cepstral Coefficients(MFCCs)due to their ability to capture the periodic nature of audio signals *** these traits may improve their ability to perceive and interpret emotional depictions appropriately,MFCCS has some *** this study aims to tackle the aforementioned issue by systematically picking multiple audio cues,enhancing the classifier model’s efficacy in accurately discerning human *** utilized dataset is taken from the EMO-DB database,preprocessing input speech is done using a 2D Convolution Neural Network(CNN)involves applying convolutional operations to spectrograms as they afford a visual representation of the way the audio signal frequency content changes over *** next step is the spectrogram data normalization which is crucial for Neural Network(NN)training as it aids in faster *** the five auditory features MFCCs,Chroma,Mel-Spectrogram,Contrast,and Tonnetz are extracted from the spectrogram *** attitude of feature selection is to retain only dominant features by excluding the irrelevant *** this paper,the Sequential Forward Selection(SFS)and Sequential Backward Selection(SBS)techniques were employed for multiple audio cues features ***,the feature sets composed from the hybrid feature extraction methods are fed into the deep Bidirectional Long Short

关键词： Artificial intelligence application multi features sequential selection speech emotion recognition deep Bi-LSTM

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Solute transport and geochemical modeling of the coastal quaternary aquifer, Delta Dahab Basin, South Sinai, Egypt

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Acta Geochimica 2024年第1期43卷 16-39页

作者： amira samy Mustafa Eissa Seham Shahen Moustafa M.Said Rabab M.Abou-shahaba Division of Water Resources and Arid Land Department of HydrogeochemistryDesert Research CenterCairoEgypt Egypt Desalination Research Center of Excellence Desert Research CenterCairoEgypt Center for Water Supply Studies S&E-Physical&Environmental SciencesTexas A&M University Corpus ChristiCorpus ChristiUSA Department of Chemistry Faculty of Science(Girls)Al-Azhar UniversityYousef Abbas StrNasr CityP.O.Box:11754CairoEgypt

The wadi dahab delta is in a dry, arid coastal zone within Egypt’s south Sinai Peninsula’s eastern portion. The primary water source is the Quaternary coastal alluvial aquifer. The groundwater salinity varies from 890to 8213 mg/L, with a mean value of 3417 mg/L. The dissolved major ions have been used to calculate the seawater mixing index(SWMI) using a linear equation that discriminates the groundwater mostly affected by water–rock interaction(SWMI 1>) and other samples mixed with Seawater(SWMI < 1). The isotopic composition of groundwater for specifically chosen groundwater samples ranges from-0.645‰ to +5.212‰ for δ^(18)O and from-9.582‰ to + 22.778‰ for δ^(2)H, where the seawater represented by a Red Sea water sample(δ^(18)O + 1.64‰-δ^(2)H + 9.80‰) and reject brine water are considerably enriched the isotopic groundwater values. The geochemical NETPATH model constrained by the dissolved significant ions, isotopes, and the rock aquifer forming minerals as phases indicate the mixing percent with the seawater ranges from 9% to 97% of seawater from 91% to 3% of original recharge water. According to the SEAWAT 3-D flow models, seawater has penetrated the Northeastern Dahab delta aquifer, with the intrusion zone extending1500 m inland. The salt dissolution, upwelling of saline water, recharge from the upstream mountain block, and seawater encroachment are the primary aspects contributing to the deterioration of groundwater quality. These findings may have significance for effective groundwater withdrawal management in arid locations worldwide with similar hydrogeological systems.

关键词： Groundwater geochemistry Seawater intrusion Solute transport SEAWAT

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A Retrospective Study of Ovarian Sex Cord Stromal Tumors at the Egyptian National Cancer Institute

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Journal of Cancer Therapy 2019年第12期10卷 920-937页

作者： Ihab samy Fayek Gamal amira Nevine Fayez Habashy Mohamed A. Abd Elrauf Attia Department of Surgical Oncology National Cancer Institute Cairo University Cairo Egypt Department of Surgical Pathology National Cancer Institute Cairo University Cairo Egypt Department of Surgical Oncology El Agouza Police Authority Hospital Cairo University Cairo Egypt

Background: Ovarian sex cord-stromal tumors are an uncommon heterogeneous group of tumors with different biological behaviors and clinico-patho- logic aspects. Aim of the Work: This study will review the clinico-pathologic aspects of sex-cord stromal ovarian tumors at the National Cancer Institute (NCI), Cairo University, Egypt, as well as their management and follow-up regarding disease free survival and overall survival. Patients and Methods: This retrospective study was conducted at the National Cancer Institute Cairo University, Egypt on female patients with ovarian sex cord stromal tumors in the period from January 2008 to December 2012 with a follow-up period of 24 to 84 months. The age of the patients, different clinical presentations, radiological findings, associated uterine bleeding (need for endometrial biopsy), pre-operative CA125 levels, surgical management done, different histopathological types, different biological behaviors, presence of ascites (and its correlation with the histopathology), Adjuvant chemotherapy (according to biological behavior and pathological type), and follow-up of non-benign cases for up to 84 months will all be documented and studied. Results: The mean age at presentation was 47.34;abdominal pain and mass were the commonest presentations 54.5% and 53.2% respectively;the main radiologic findings were a pelvic mass +/- ascites which had no correlation to the pathological type (p = 0.075). Endometrial hyperplasia and endometrial carcinoma were associated with 22% and 2.5% of cases respectively. Stages I and II represented 95% of patients with non-benign tumors (48 patients). Panhysterectomy +/- infracolic omentectomy or fertility sparing surgery were done in 70.1% and 29.9% of patients respectively. AGCTs were the commonest pathological type (49.4%). Adjuvant chemotherapy was given to 14 patients (46.7%) with non-benign tumors. 6 recurrences (20%) in 30 patients with non-benign tumors on regular follow-up were documented. The med

关键词： Ovarian Sex Cord Stromal Tumors National Cancer Institute Egypt Granulosa Cell Tumor

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