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	<title>Photography &#8211; International Journal of Emerging Science and Engineering (IJESE)</title>
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	<description>Exploring Innovation &#124; ISSN: 2319–6378(Online) &#124; A Periodical Journal &#124; Reg. No.: C/1383209 &#124; Published by BEIESP</description>
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	<title>Photography &#8211; International Journal of Emerging Science and Engineering (IJESE)</title>
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	<item>
		<title>Single Portfolio: Fullscreen Slider</title>
		<link>https://www.ijese.org/portfolio-item/vimeo-video/</link>
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		<pubDate>Sun, 16 Jan 2011 01:06:46 +0000</pubDate>
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					<description><![CDATA[<p>The International Journal of Emerging Science and Engineering (IJESE) is an open-access, peer-reviewed, monthly international journal with an ISSN 2319-6378 (online). It is published by the Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) periodically in January, February, March, April, May, June, July, August, September, October, November, and December since 2012.<br />
The International Journal of Emerging Science and Engineering (IJESE) aspires to circulate top-notch, peer-reviewed original articles in Engineering and Technology, shrouding Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and all related interdisciplinary associates.</p>
<p>Add what you want!</p>
<p>The post <a rel="nofollow" href="https://www.ijese.org/portfolio-item/vimeo-video/">Single Portfolio: Fullscreen Slider</a> appeared first on <a rel="nofollow" href="https://www.ijese.org">International Journal of Emerging Science and Engineering (IJESE)</a>.</p>
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										<content:encoded><![CDATA[<p>The International Journal of Emerging Science and Engineering (IJESE) is an open-access, peer-reviewed, monthly international journal with an ISSN 2319-6378 (online). It is published by the Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP) periodically in January, February, March, April, May, June, July, August, September, October, November, and December since 2012.<br />
The International Journal of Emerging Science and Engineering (IJESE) aspires to circulate top-notch, peer-reviewed original articles in Engineering and Technology, shrouding Computer Science and Engineering, Information Technology, Electrical and Electronics Engineering, Electronics and Telecommunication, Mechanical Engineering, Civil Engineering, and all related interdisciplinary associates.</p>
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<div  class='flex_column av-av_one_half-b51168870d26eac9084c0e2dc495efe0 av_one_half  avia-builder-el-4  el_after_av_one_half  el_before_av_slideshow_full  avia-builder-el-last  flex_column_div  column-top-margin'     ><section  class='av_textblock_section av-av_textblock-a7bac4a6e49c8eb47262a43fda825da8 '   itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><div class='avia_textblock'  itemprop="text" ><p>Nulla consequat <strong>massa</strong> quis enim. Donec pede justo, fringilla vel, aliquet nec, vulputate eget, arcu. In enim justo, rhoncus ut, imperdiet a, venenatis vitae, justo. Nullam dictum felis eu pede mollis pretium. Integer tincidunt. Cras dapibus. Vivamus elementum semper nisi.</p>
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<div  class='flex_column av-av_one_half-b51168870d26eac9084c0e2dc495efe0 av_one_half  avia-builder-el-10  el_after_av_one_half  el_before_av_section  avia-builder-el-last  flex_column_div  column-top-margin'     ><section  class='av_textblock_section av-av_textblock-a7bac4a6e49c8eb47262a43fda825da8 '   itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><div class='avia_textblock'  itemprop="text" ><p>Lorem ipsum dolor sit amet, consectetuer adipiscing elit. Aenean <a href="#">commodo ligula eget dolor</a>. Aenean massa. Cum sociis natoque penatibus et magnis dis parturient montes, nascetur <strong>ridiculus</strong> mus. Donec quam felis, ultricies nec, pellentesque eu, pretium quis, sem.</p>
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<section  class='av_textblock_section av-av_textblock-a7bac4a6e49c8eb47262a43fda825da8 '   itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><div class='avia_textblock'  itemprop="text" ><h4 style="text-align: center;">Most Recent Entries</h4>
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<div  class='hr av-av_hr-4a566f4a73ae78223e1997276585dc3a hr-short  avia-builder-el-14  el_after_av_textblock  el_before_av_portfolio  avia-builder-el-last  hr-center'><span class='hr-inner '><span class="hr-inner-style"></span></span></div>
<div  id="av-sc-portfolio-1"  class=' grid-sort-container isotope   no_margin-container with-excerpt-container grid-total-even grid-col-4 grid-links-' data-portfolio-id='1'><div data-ajax-id='8664' class=' grid-entry flex_column isotope-item all_sort no_margin post-entry post-entry-8664 grid-entry-overview grid-loop-1 grid-parity-odd  volume-14-issue-8-july-2026_sort  av_one_fourth first default_av_fullwidth '><article class='main_color inner-entry'  itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><a href="https://www.ijese.org/portfolio-item/d106005040826/" title='D106005040826'  data-rel='grid-1' class='grid-image avia-hover-fx'> </a><div class='grid-content'><div class='avia-arrow'></div><header class="entry-content-header" aria-label="Portfolio: D106005040826"><h3 class='grid-entry-title entry-title '  itemprop="headline" ><a href='https://www.ijese.org/portfolio-item/d106005040826/' title='D106005040826'>D106005040826</a></h3></header><div class='grid-entry-excerpt entry-content'  itemprop="text" >Various passive means of increasing the air movement in interior spaces have received significant attention due to the continuous effort made by the building industry in decreasing the amount of energy consumed due to the conventional means of mechanical ventilation and cooling systems. Several passive ventilation systems are available; however, the solar chimney system has become an efficient alternative since it uses solar energy to produce a convection effect and hence natural ventilation. This work involves the design and analysis of a residential solar chimney under the climate of Jamnagar, Gujarat, India. For experimental development of the unit, the hexagonal solar collector is attached to the central tapered chimney. To evaluate the effect of collector orientation on the heat transfer process, inclined collector operation was performed at angles of inclination equal to 10°, 20°, and 30°, with the same geometrical characteristics. The air temperatures at the specified points were measured with calibrated K-type thermocouples. Theoretical analysis based on energy balance, buoyancy flows, and natural convection equations was also used to evaluate temperature distributions and airflow generation. Based on analytical predictions, air temperature will increase as heat is gained from the sun and collected through the collector. Under typical summer conditions, the outlet air temperature will be higher than the ambient air temperature by about 9–10°C. In the configurations tested, the inclined collector with a slope of 10° showed the highest heat gain and efficiency because it captured solar radiation more efficiently. The analysis also shows that the system can sustain natural ventilation without the use of fans. In general, the findings show that a mini solar chimney can be a viable and energy-efficient alternative for ventilating homes in areas with high amounts of solar insolation. The approach adopted, methodology used, and predictions made in this study will form the basis for future experiments, simulations, and geometry optimization to improve the efficiency of mini solar chimneys.</div></div><footer class="entry-footer"></footer></article></div><div data-ajax-id='8637' class=' grid-entry flex_column isotope-item all_sort no_margin post-entry post-entry-8637 grid-entry-overview grid-loop-2 grid-parity-even  volume-14-issue-7-june-2026_sort  av_one_fourth  default_av_fullwidth '><article class='main_color inner-entry'  itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><a href="https://www.ijese.org/portfolio-item/f479015060826/" title='F479015060826'  data-rel='grid-1' class='grid-image avia-hover-fx'> </a><div class='grid-content'><div class='avia-arrow'></div><header class="entry-content-header" aria-label="Portfolio: F479015060826"><h3 class='grid-entry-title entry-title '  itemprop="headline" ><a href='https://www.ijese.org/portfolio-item/f479015060826/' title='F479015060826'>F479015060826</a></h3></header><div class='grid-entry-excerpt entry-content'  itemprop="text" >This study investigated land use and land cover (LULC) dynamics and their influence on land surface temperature (LST) using multi-temporal Landsat and MODIS satellite imagery. Supervised classification employing the Maximum Likelihood Algorithm was applied to classify LULC patterns, and classification accuracy was assessed following standard validation procedures to ensure reliability for environmental monitoring, water resource management, and climate change assessment. Trend and change detection analyses were conducted to evaluate the spatial and temporal variability of LULC and LST within the study area. The results identified 15 major LULC classes and revealed substantial expansion and contraction among different land cover types over time, accompanied by significant variations in LST. Grassland was the dominant land cover category, accounting for more than 36.53% of the total area. In contrast, the evergreen needle-leaf forest was the least extensive class, covering less than 0.0014% of the study area. The observed changes in LULC and associated thermal characteristics are primarily attributed to both anthropogenic activities and natural environmental processes, which directly influence hydrological conditions, including precipitation, evaporation, streamflow, and water quality dynamics. The findings highlight the strong interrelationship between land-cover transformation and surface thermal responses, emphasising the implications of uncontrolled land-use changes for hydrological balance and ecosystem sustainability. Therefore, the study recommends continuous monitoring and effective management of LULC changes, particularly settlement expansion and deforestation, to mitigate potential environmental degradation and hydrological imbalance within the catchment.</div></div><footer class="entry-footer"></footer></article></div><div data-ajax-id='8632' class=' grid-entry flex_column isotope-item all_sort no_margin post-entry post-entry-8632 grid-entry-overview grid-loop-3 grid-parity-odd  volume-14-issue-7-june-2026_sort  av_one_fourth  default_av_fullwidth '><article class='main_color inner-entry'  itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><a href="https://www.ijese.org/portfolio-item/d476115040426/" title='D476115040426'  data-rel='grid-1' class='grid-image avia-hover-fx'> </a><div class='grid-content'><div class='avia-arrow'></div><header class="entry-content-header" aria-label="Portfolio: D476115040426"><h3 class='grid-entry-title entry-title '  itemprop="headline" ><a href='https://www.ijese.org/portfolio-item/d476115040426/' title='D476115040426'>D476115040426</a></h3></header></div><footer class="entry-footer"></footer></article></div><div data-ajax-id='8611' class=' grid-entry flex_column isotope-item all_sort no_margin post-entry post-entry-8611 grid-entry-overview grid-loop-4 grid-parity-even  post-entry-last  volume-14-issue-6-may-2026_sort  av_one_fourth  default_av_fullwidth '><article class='main_color inner-entry'  itemscope="itemscope" itemtype="https://schema.org/CreativeWork" ><a href="https://www.ijese.org/portfolio-item/b471515021225/" title='B471515021225'  data-rel='grid-1' class='grid-image avia-hover-fx'> </a><div class='grid-content'><div class='avia-arrow'></div><header class="entry-content-header" aria-label="Portfolio: B471515021225"><h3 class='grid-entry-title entry-title '  itemprop="headline" ><a href='https://www.ijese.org/portfolio-item/b471515021225/' title='B471515021225'>B471515021225</a></h3></header><div class='grid-entry-excerpt entry-content'  itemprop="text" >Seizure detection from electroencephalogram (EEG) signals remains a difficult problem because of the wide variation in patient patterns and the limited amount of labelled data. In this work, we developed a hybrid learning setup that blends a supervised 1D Convolutional Neural Network (CNN) with an unsupervised Autoencoder (AE). The CNN learns to recognise seizure-related patterns from labelled EEG segments, while the AE models typical EEG activity and signals abnormal deviations. We combined their predictions using three ensemble techniques-Soft Weighted Average, Soft Average, and Majority Voting-to stabilize performance and reduce false alarms. Tests on the Turkish Epilepsy EEG Dataset showed that this hybrid approach performed more reliably across patients than either model alone.</div></div><footer class="entry-footer"></footer></article></div></div>

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